--------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\Ben\Desktop\HKU Postdoc\Project\NHPI-exercise\Posted\NHPI-
> exercise Replication Package\20250822-brfss2015-2019-pathanalysis-tableoutput.
> log
  log type:  text
 opened on:  29 Aug 2025, 00:12:15
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. version 15.1
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. clear   all
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. macro   drop _all
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. set     linesize 120
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. set     scheme plottig
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. set             more off
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. set             varabbrev off
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. set     rmsg on
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. 
. // #0. Document this do-file
.         local today : di %tdCY/N/D daily("$S_DATE", "DMY")
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.         tokenize `today',parse("/")
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.         local year `1'
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.         local month `3'
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.         local day `5'
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. 
.         local who "Ben Cheung"
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.         local pgm "20250822-brfss2015-2019-pathanalysis-tableoutput"
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.         local date "`year'-`month'-`day'"
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.         local tag "`pgm'.do by `who' on `date'"
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.         display "The tag is: `tag'"
The tag is: 20250822-brfss2015-2019-pathanalysis-tableoutput.do by Ben Cheung on 2025-08-29
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. 
. 
.         local today : di %tdCYND daily("$S_DATE", "DMY")
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. 
. 
.         *Check for installed packages
.         capture which scheme-plottig.scheme
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.         if _rc!=0 ssc install blidschemes
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. 
.         capture which confirmdir
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.         if _rc!=0 ssc install confirmdir
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. 
.         capture which estout
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.         if _rc!=0 ssc install estout
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. 
.         capture which sum2docx
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.         if _rc!=0 ssc install sum2docx
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. 
.         capture which tab2xl
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.         if _rc!=0 net install http://www.stata.com/users/kcrow/tab2xl, replace
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. 
.         set scheme plottig
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. 
. 
. local folder "graph"
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. confirmdir "`folder'"
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. if `r(confirmdir)'==170 {
.         mkdir "`folder'"
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. }
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. 
. 
. local folder "graph/brfss2015-2019-pathanalysis-tableoutput"
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. confirmdir "`folder'"
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. if `r(confirmdir)'==170 {
.         mkdir "`folder'"
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. }
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. 
. 
. local folder "model"
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. confirmdir "`folder'"
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. if `r(confirmdir)'==170 {
.         mkdir "`folder'"
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. }
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. 
. local folder "model/brfss2015-2019-pathanalysis-tableoutput"
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. confirmdir "`folder'"
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. if `r(confirmdir)'==170 {
.         mkdir "`folder'"
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. }
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. 
. local folder "summary"
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. confirmdir "`folder'"
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. if `r(confirmdir)'==170 {
.         mkdir "`folder'"
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. }
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. 
. 
. 
. 
. *Define custom program to show command in loop
. program define pe
  1.         version 15.1
  2.         if `"`0'"' != "" {
  3.                 display("")
  4.                 display as input `". `0'"'
  5.                 `0'
  6.                 display("")
  7.         }
  8. end
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. 
. 
. 
. 
. 
. // #1. Data management
. use "Data Ready for Analysis/brfss2015-readyforlistwiseanalysis.dta",clear
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. 
. append using "Data Ready for Analysis/brfss2017-readyforlistwiseanalysis.dta"
(label hhincome already defined)
(label praceethnicgp_multi_sim already defined)
(label educ already defined)
(label male already defined)
r; t=0.42 0:12:16

. 
. append using "Data Ready for Analysis/brfss2019-readyforlistwiseanalysis.dta"
(label hhincome already defined)
(label praceethnicgp_multi_sim already defined)
(label educ already defined)
(label male already defined)
r; t=0.39 0:12:16

. 
. destring year, replace
year: all characters numeric; replaced as int
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. 
. svyset [pweight=svyweight], strata(strata) psu(psu) singleunit(centered)

      pweight: svyweight
          VCE: linearized
  Single unit: centered
     Strata 1: strata
         SU 1: psu
        FPC 1: <zero>
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. 
. 
. 
. 
. 
. // #2. Estimates output
. **************************************Whether there are any differences in exercises between NHPI and other racial/eth
> nic groups Start****************************************************
. local mname "exe_medb2"
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. eststo `mname': svy: gsem (exe_aerobic_advice_m1 exe_strength_advice_m1 <- c.yearsold i.year ib2.praceethnicgp_multi_s
> im, ologit) ///
> (exe_aerobic_advice_m2 exe_strength_advice_m2 <- c.yearsold i.year i.educ ib2.praceethnicgp_multi_sim, ologit) ///
> (exe_aerobic_advice_m3 exe_strength_advice_m3 <- c.yearsold i.year i.hhincome ib2.praceethnicgp_multi_sim, ologit) ///
> (exe_aerobic_advice_m4 exe_strength_advice_m4 <- c.yearsold i.year i.educ i.hhincome ib2.praceethnicgp_multi_sim, olog
> it) ///
> (exe_aerobic_advice_f1 exe_strength_advice_f1 <- c.yearsold i.year ib2.praceethnicgp_multi_sim, ologit) ///
> (exe_aerobic_advice_f2 exe_strength_advice_f2 <- c.yearsold i.year i.educ ib2.praceethnicgp_multi_sim, ologit) ///
> (exe_aerobic_advice_f3 exe_strength_advice_f3 <- c.yearsold i.year i.hhincome ib2.praceethnicgp_multi_sim, ologit) ///
> (exe_aerobic_advice_f4 exe_strength_advice_f4 <- c.yearsold i.year i.educ i.hhincome ib2.praceethnicgp_multi_sim, olog
> it) ///
> if yearsold>=25 & !mi(yearsold, educ, hhincome, praceethnicgp_multi_sim)
(running gsem on estimation sample)

Survey: Generalized structural equation model

Number of strata   =     1,736                Number of obs     =      942,719
Number of PSUs     =   942,719                Population size   =  499,405,608
                                              Design df         =      940,983

Response       : exe_aerobic_advic~m1         Number of obs     =      408,292
Family         : ordinal
Link           : logit

Response       : exe_strength_advi~m1         Number of obs     =      416,042
Family         : ordinal
Link           : logit

Response       : exe_aerobic_advic~m2         Number of obs     =      408,292
Family         : ordinal
Link           : logit

Response       : exe_strength_advi~m2         Number of obs     =      416,042
Family         : ordinal
Link           : logit

Response       : exe_aerobic_advic~m3         Number of obs     =      408,292
Family         : ordinal
Link           : logit

Response       : exe_strength_advi~m3         Number of obs     =      416,042
Family         : ordinal
Link           : logit

Response       : exe_aerobic_advic~m4         Number of obs     =      408,292
Family         : ordinal
Link           : logit

Response       : exe_strength_advi~m4         Number of obs     =      416,042
Family         : ordinal
Link           : logit

Response       : exe_aerobic_advic~f1         Number of obs     =      504,170
Family         : ordinal
Link           : logit

Response       : exe_strength_advi~f1         Number of obs     =      513,704
Family         : ordinal
Link           : logit

Response       : exe_aerobic_advic~f2         Number of obs     =      504,170
Family         : ordinal
Link           : logit

Response       : exe_strength_advi~f2         Number of obs     =      513,704
Family         : ordinal
Link           : logit

Response       : exe_aerobic_advic~f3         Number of obs     =      504,170
Family         : ordinal
Link           : logit

Response       : exe_strength_advi~f3         Number of obs     =      513,704
Family         : ordinal
Link           : logit

Response       : exe_aerobic_advic~f4         Number of obs     =      504,170
Family         : ordinal
Link           : logit

Response       : exe_strength_advi~f4         Number of obs     =      513,704
Family         : ordinal
Link           : logit

-----------------------------------------------------------------------------------------
                        |             Linearized
                        |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------------+----------------------------------------------------------------
exe_aerobic_advice_m1   |
               yearsold |    .001547   .0003921     3.95   0.000     .0007785    .0023154
                        |
                   year |
                  2016  |   .0862283    .058924     1.46   0.143    -.0292607    .2017173
                  2017  |  -.0055579   .0149612    -0.37   0.710    -.0348813    .0237656
                  2018  |  -.3393759   .0543702    -6.24   0.000    -.4459396   -.2328122
                  2019  |   .1168758   .0149102     7.84   0.000     .0876523    .1460993
                  2020  |   -.174068   .0457508    -3.80   0.000    -.2637381   -.0843979
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |   .0208727   .1056174     0.20   0.843     -.186134    .2278793
        1nHwhite_Multi  |  -.0937861   .1209931    -0.78   0.438    -.3309284    .1433563
           3NHPI_Multi  |   .2395041   .1602164     1.49   0.135    -.0745146    .5535229
                4Other  |  -.2851603   .1061078    -2.69   0.007     -.493128   -.0771926
------------------------+----------------------------------------------------------------
exe_strength_advice_m1  |
               yearsold |  -.0156156     .00044   -35.49   0.000     -.016478   -.0147531
                        |
                   year |
                  2016  |   .1134329   .0669616     1.69   0.090    -.0178097    .2446755
                  2017  |  -.0057697   .0168368    -0.34   0.732    -.0387694    .0272299
                  2018  |    .079081   .0632777     1.25   0.211    -.0449413    .2031033
                  2019  |   .2458108   .0163903    15.00   0.000     .2136863    .2779352
                  2020  |   .1357205   .0524173     2.59   0.010     .0329844    .2384566
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |  -.2714845   .1023454    -2.65   0.008    -.4720779    -.070891
        1nHwhite_Multi  |  -.1470105   .1198596    -1.23   0.220    -.3819312    .0879103
           3NHPI_Multi  |   .2207455   .1756071     1.26   0.209    -.1234385    .5649296
                4Other  |   -.253365   .1030186    -2.46   0.014    -.4552781   -.0514519
------------------------+----------------------------------------------------------------
exe_aerobic_advice_m2   |
               yearsold |   .0032633   .0004011     8.14   0.000     .0024772    .0040494
                        |
                   year |
                  2016  |   .1014841   .0595245     1.70   0.088    -.0151818    .2181501
                  2017  |  -.0130751   .0152085    -0.86   0.390    -.0428833    .0167331
                  2018  |  -.3587969   .0545045    -6.58   0.000    -.4656239   -.2519698
                  2019  |   .1024957   .0151474     6.77   0.000     .0728072    .1321842
                  2020  |  -.2181633   .0455253    -4.79   0.000    -.3073913   -.1289353
                        |
                   educ |
              1HighSch  |   .3977931   .0256617    15.50   0.000     .3474971    .4480891
          2SomeCollege  |   .7226102   .0256247    28.20   0.000     .6723867    .7728337
       3CollegeorAbove  |   1.097423   .0243877    45.00   0.000     1.049624    1.145222
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |  -.1629605   .1065189    -1.53   0.126    -.3717339    .0458129
        1nHwhite_Multi  |  -.2202654   .1220307    -1.81   0.071    -.4594415    .0189106
           3NHPI_Multi  |   .1653554    .157532     1.05   0.294    -.1434021    .4741129
                4Other  |   -.325988   .1069786    -3.05   0.002    -.5356625   -.1163134
------------------------+----------------------------------------------------------------
exe_strength_advice_m2  |
               yearsold |  -.0147491   .0004459   -33.08   0.000    -.0156231   -.0138751
                        |
                   year |
                  2016  |     .12579   .0674765     1.86   0.062    -.0064616    .2580416
                  2017  |  -.0110399   .0169834    -0.65   0.516    -.0443267     .022247
                  2018  |   .0715778    .063855     1.12   0.262    -.0535759    .1967314
                  2019  |    .237851   .0165901    14.34   0.000      .205335     .270367
                  2020  |   .1112439   .0526757     2.11   0.035     .0080013    .2144865
                        |
                   educ |
              1HighSch  |    .367094   .0311249    11.79   0.000     .3060903    .4280978
          2SomeCollege  |   .6442697   .0310797    20.73   0.000     .5833545    .7051849
       3CollegeorAbove  |   .8945332   .0297776    30.04   0.000     .8361702    .9528963
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |   -.419344   .1005024    -4.17   0.000    -.6163253   -.2223627
        1nHwhite_Multi  |  -.2524366   .1183994    -2.13   0.033    -.4844955   -.0203777
           3NHPI_Multi  |   .1649476   .1728507     0.95   0.340    -.1738339    .5037291
                4Other  |  -.2869848   .1010906    -2.84   0.005    -.4851189   -.0888507
------------------------+----------------------------------------------------------------
exe_aerobic_advice_m3   |
               yearsold |   .0038774   .0003964     9.78   0.000     .0031005    .0046544
                        |
                   year |
                  2016  |   .0708346   .0601009     1.18   0.239    -.0469612    .1886304
                  2017  |   -.020676   .0152442    -1.36   0.175    -.0505542    .0092021
                  2018  |  -.3559974   .0561093    -6.34   0.000    -.4659698   -.2460249
                  2019  |    .079685   .0150359     5.30   0.000     .0502151    .1091549
                  2020  |  -.2040969    .045539    -4.48   0.000    -.2933519   -.1148419
                        |
               hhincome |
         1_10000-14999  |   .0602231   .0452611     1.33   0.183    -.0284872    .1489334
         2_15000-19999  |   .1603019   .0424206     3.78   0.000      .077159    .2434449
         3_20000-24999  |   .2158014   .0399657     5.40   0.000     .1374699    .2941328
         4_25000-34999  |    .336206   .0387627     8.67   0.000     .2602325    .4121796
         5_35000-49999  |   .5434976   .0369899    14.69   0.000     .4709986    .6159967
         6_50000-74999  |   .7042702   .0359102    19.61   0.000     .6338875    .7746529
              7_75000+  |   1.007243   .0344443    29.24   0.000     .9397332    1.074753
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |  -.1966578   .1075183    -1.83   0.067    -.4073901    .0140745
        1nHwhite_Multi  |  -.2156667   .1230198    -1.75   0.080    -.4567814     .025448
           3NHPI_Multi  |   .1186351   .1596099     0.74   0.457    -.1941949    .4314651
                4Other  |  -.3156841   .1079542    -2.92   0.003    -.5272707   -.1040974
------------------------+----------------------------------------------------------------
exe_strength_advice_m3  |
               yearsold |  -.0142764   .0004481   -31.86   0.000    -.0151547   -.0133981
                        |
                   year |
                  2016  |   .1059372   .0677536     1.56   0.118    -.0268577    .2387321
                  2017  |  -.0164175   .0169059    -0.97   0.331    -.0495524    .0167174
                  2018  |   .0740735   .0631357     1.17   0.241    -.0496705    .1978174
                  2019  |   .2209585   .0164626    13.42   0.000     .1886923    .2532247
                  2020  |   .1251796   .0519303     2.41   0.016      .023398    .2269612
                        |
               hhincome |
         1_10000-14999  |   .0466876   .0525461     0.89   0.374    -.0563011    .1496763
         2_15000-19999  |   .1618334    .047373     3.42   0.001     .0689839    .2546829
         3_20000-24999  |   .2631808   .0449883     5.85   0.000     .1750052    .3513565
         4_25000-34999  |   .3344288   .0433515     7.71   0.000     .2494613    .4193963
         5_35000-49999  |   .5048016   .0411727    12.26   0.000     .4241046    .5854987
         6_50000-74999  |   .5690735   .0402208    14.15   0.000     .4902421    .6479049
              7_75000+  |   .7784133   .0384966    20.22   0.000     .7029613    .8538654
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |  -.4270112   .1044128    -4.09   0.000    -.6316568   -.2223657
        1nHwhite_Multi  |  -.2328438   .1210961    -1.92   0.055    -.4701882    .0045005
           3NHPI_Multi  |   .1407161   .1774244     0.79   0.428    -.2070298    .4884621
                4Other  |  -.2746253   .1049887    -2.62   0.009    -.4803997    -.068851
------------------------+----------------------------------------------------------------
exe_aerobic_advice_m4   |
               yearsold |   .0043546   .0004017    10.84   0.000     .0035674    .0051419
                        |
                   year |
                  2016  |   .0858942   .0601495     1.43   0.153    -.0319968    .2037853
                  2017  |  -.0209138   .0153247    -1.36   0.172    -.0509497    .0091222
                  2018  |  -.3648303   .0556773    -6.55   0.000     -.473956   -.2557046
                  2019  |   .0819638   .0151588     5.41   0.000     .0522531    .1116746
                  2020  |  -.2259722    .045448    -4.97   0.000    -.3150487   -.1368957
                        |
                   educ |
              1HighSch  |   .2741718   .0262761    10.43   0.000     .2226716     .325672
          2SomeCollege  |    .531915   .0267298    19.90   0.000     .4795255    .5843046
       3CollegeorAbove  |   .7935527   .0266501    29.78   0.000     .7413194    .8457861
                        |
               hhincome |
         1_10000-14999  |   .0495195   .0457705     1.08   0.279    -.0401891    .1392281
         2_15000-19999  |   .1266288   .0428643     2.95   0.003     .0426162    .2106415
         3_20000-24999  |   .1469723   .0402438     3.65   0.000     .0680958    .2258488
         4_25000-34999  |   .2308743   .0393175     5.87   0.000     .1538134    .3079353
         5_35000-49999  |   .3788248   .0377241    10.04   0.000     .3048869    .4527627
         6_50000-74999  |   .4751012   .0368778    12.88   0.000     .4028219    .5473806
              7_75000+  |   .6734319   .0360319    18.69   0.000     .6028105    .7440532
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |  -.2571426   .1075658    -2.39   0.017    -.4679679   -.0463172
        1nHwhite_Multi  |  -.2684683   .1230714    -2.18   0.029    -.5096841   -.0272526
           3NHPI_Multi  |   .1081602   .1588237     0.68   0.496     -.203129    .4194493
                4Other  |  -.3348851   .1080059    -3.10   0.002    -.5465731   -.1231971
------------------------+----------------------------------------------------------------
exe_strength_advice_m4  |
               yearsold |  -.0141729   .0004486   -31.59   0.000    -.0150521   -.0132937
                        |
                   year |
                  2016  |   .1191289     .06789     1.75   0.079    -.0139331    .2521909
                  2017  |   -.016063   .0169853    -0.95   0.344    -.0493536    .0172276
                  2018  |   .0706298   .0637266     1.11   0.268    -.0542722    .1955319
                  2019  |    .225331   .0165734    13.60   0.000     .1928477    .2578142
                  2020  |   .1117703   .0523056     2.14   0.033     .0092532    .2142875
                        |
                   educ |
              1HighSch  |   .2811388   .0317315     8.86   0.000     .2189462    .3433315
          2SomeCollege  |   .5155906   .0322503    15.99   0.000     .4523812    .5788001
       3CollegeorAbove  |   .6990984   .0322056    21.71   0.000     .6359764    .7622203
                        |
               hhincome |
         1_10000-14999  |   .0339231   .0529193     0.64   0.522    -.0697969    .1376431
         2_15000-19999  |   .1302619    .047787     2.73   0.006      .036601    .2239227
         3_20000-24999  |   .2006536    .045267     4.43   0.000     .1119319    .2893753
         4_25000-34999  |   .2405622     .04396     5.47   0.000      .154402    .3267224
         5_35000-49999  |   .3558593   .0419511     8.48   0.000     .2736365    .4380821
         6_50000-74999  |   .3654781   .0414441     8.82   0.000      .284249    .4467072
              7_75000+  |   .4924726   .0403347    12.21   0.000     .4134178    .5715273
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |  -.4789586   .1020015    -4.70   0.000    -.6788782   -.2790391
        1nHwhite_Multi  |  -.2796647   .1191785    -2.35   0.019    -.5132506   -.0460789
           3NHPI_Multi  |   .1326121   .1752363     0.76   0.449    -.2108452    .4760695
                4Other  |  -.2922955   .1025697    -2.85   0.004    -.4933287   -.0912624
------------------------+----------------------------------------------------------------
exe_aerobic_advice_f1   |
               yearsold |  -.0059829   .0003711   -16.12   0.000    -.0067103   -.0052556
                        |
                   year |
                  2016  |  -.0654289   .0556219    -1.18   0.239     -.174446    .0435881
                  2017  |  -.0361122   .0140008    -2.58   0.010    -.0635533    -.008671
                  2018  |  -.3925053   .0532582    -7.37   0.000    -.4968897    -.288121
                  2019  |   .0328429   .0137044     2.40   0.017     .0059826    .0597031
                  2020  |  -.2732081   .0423211    -6.46   0.000     -.356156   -.1902603
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |   .4698946   .1041733     4.51   0.000     .2657184    .6740707
        1nHwhite_Multi  |   .5203478   .1199564     4.34   0.000     .2852373    .7554582
           3NHPI_Multi  |   .3835079   .1646399     2.33   0.020     .0608192    .7061966
                4Other  |    .072847   .1046677     0.70   0.486    -.1322982    .2779923
------------------------+----------------------------------------------------------------
exe_strength_advice_f1  |
               yearsold |  -.0099086   .0004363   -22.71   0.000    -.0107637   -.0090535
                        |
                   year |
                  2016  |  -.0438503   .0759901    -0.58   0.564    -.1927884    .1050878
                  2017  |   .0247592   .0166943     1.48   0.138    -.0079612    .0574796
                  2018  |   .0615674   .0642909     0.96   0.338    -.0644407    .1875755
                  2019  |     .29373   .0161003    18.24   0.000      .262174     .325286
                  2020  |   .1900398   .0536812     3.54   0.000     .0848264    .2952532
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |   .1126409   .1124064     1.00   0.316    -.1076719    .3329537
        1nHwhite_Multi  |   .2047241   .1311404     1.56   0.118    -.0523067    .4617549
           3NHPI_Multi  |   .3022114   .2091138     1.45   0.148    -.1076447    .7120675
                4Other  |  -.0992554   .1131382    -0.88   0.380    -.3210025    .1224917
------------------------+----------------------------------------------------------------
exe_aerobic_advice_f2   |
               yearsold |  -.0024443    .000386    -6.33   0.000    -.0032008   -.0016878
                        |
                   year |
                  2016  |  -.0860386   .0567392    -1.52   0.129    -.1972456    .0251684
                  2017  |  -.0552125   .0142431    -3.88   0.000    -.0831285   -.0272965
                  2018  |  -.4361223   .0526334    -8.29   0.000    -.5392821   -.3329626
                  2019  |   .0015539   .0140079     0.11   0.912    -.0259011     .029009
                  2020  |  -.3190931   .0419364    -7.61   0.000    -.4012871   -.2368991
                        |
                   educ |
              1HighSch  |   .2851893   .0257975    11.05   0.000      .234627    .3357516
          2SomeCollege  |   .6262625   .0254336    24.62   0.000     .5764136    .6761115
       3CollegeorAbove  |   1.011342   .0248062    40.77   0.000     .9627231    1.059962
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |   .3037001   .1005353     3.02   0.003     .1066542    .5007459
        1nHwhite_Multi  |    .394267   .1174099     3.36   0.001     .1641474    .6243865
           3NHPI_Multi  |   .3327571   .1674953     1.99   0.047     .0044719    .6610423
                4Other  |   .0383546   .1010484     0.38   0.704    -.1596969    .2364062
------------------------+----------------------------------------------------------------
exe_strength_advice_f2  |
               yearsold |  -.0068863   .0004548   -15.14   0.000    -.0077777   -.0059949
                        |
                   year |
                  2016  |  -.0535679   .0759981    -0.70   0.481    -.2025217    .0953859
                  2017  |   .0098318   .0168083     0.58   0.559     -.023112    .0427756
                  2018  |   .0434961   .0639621     0.68   0.496    -.0818674    .1688596
                  2019  |   .2713685   .0163596    16.59   0.000     .2393042    .3034327
                  2020  |   .1593162   .0531876     3.00   0.003     .0550702    .2635622
                        |
                   educ |
              1HighSch  |   .2693554   .0353295     7.62   0.000     .2001109    .3385999
          2SomeCollege  |   .5919955   .0343112    17.25   0.000     .5247467    .6592443
       3CollegeorAbove  |   .9486717   .0336484    28.19   0.000      .882722    1.014621
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |  -.0387254   .1114245    -0.35   0.728    -.2571137    .1796628
        1nHwhite_Multi  |   .0913232   .1308085     0.70   0.485     -.165057    .3477034
           3NHPI_Multi  |   .2726427   .2072192     1.32   0.188       -.1335    .6787854
                4Other  |  -.1359953   .1121094    -1.21   0.225    -.3557259    .0837354
------------------------+----------------------------------------------------------------
exe_aerobic_advice_f3   |
               yearsold |  -.0027775    .000382    -7.27   0.000    -.0035263   -.0020287
                        |
                   year |
                  2016  |  -.1054546   .0571434    -1.85   0.065    -.2174538    .0065447
                  2017  |  -.0502348   .0142334    -3.53   0.000    -.0781318   -.0223378
                  2018  |  -.4297516   .0536961    -8.00   0.000    -.5349942   -.3245091
                  2019  |  -.0040458   .0139253    -0.29   0.771    -.0313389    .0232474
                  2020  |  -.2890032   .0422628    -6.84   0.000    -.3718369   -.2061694
                        |
               hhincome |
         1_10000-14999  |    .031859   .0376483     0.85   0.397    -.0419304    .1056485
         2_15000-19999  |   .1558368   .0338675     4.60   0.000     .0894576    .2222159
         3_20000-24999  |   .2383588   .0332458     7.17   0.000     .1731982    .3035194
         4_25000-34999  |   .4193544   .0325828    12.87   0.000     .3554932    .4832157
         5_35000-49999  |   .5830156   .0311817    18.70   0.000     .5219004    .6441307
         6_50000-74999  |   .7374052   .0305931    24.10   0.000     .6774436    .7973667
              7_75000+  |   1.027022   .0287838    35.68   0.000     .9706062    1.083437
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |   .2683003   .1097596     2.44   0.015     .0531752    .4834255
        1nHwhite_Multi  |   .4195493   .1248035     3.36   0.001     .1749387      .66416
           3NHPI_Multi  |   .2911267   .1703586     1.71   0.087    -.0427704    .6250238
                4Other  |   .0786273   .1101284     0.71   0.475    -.1372207    .2944753
------------------------+----------------------------------------------------------------
exe_strength_advice_f3  |
               yearsold |  -.0076631   .0004578   -16.74   0.000    -.0085603   -.0067659
                        |
                   year |
                  2016  |  -.0706266    .076459    -0.92   0.356    -.2204836    .0792305
                  2017  |   .0153329   .0167531     0.92   0.360    -.0175025    .0481684
                  2018  |   .0473629   .0645069     0.73   0.463    -.0790684    .1737942
                  2019  |   .2700945   .0162574    16.61   0.000     .2382307    .3019584
                  2020  |   .1900016   .0530837     3.58   0.000     .0859593     .294044
                        |
               hhincome |
         1_10000-14999  |   .0913213   .0492022     1.86   0.063    -.0051134     .187756
         2_15000-19999  |   .0989691   .0421504     2.35   0.019     .0163559    .1815824
         3_20000-24999  |   .1972509   .0422352     4.67   0.000     .1144715    .2800304
         4_25000-34999  |   .2814431   .0408555     6.89   0.000     .2013677    .3615185
         5_35000-49999  |   .3736811   .0383679     9.74   0.000     .2984812    .4488809
         6_50000-74999  |   .5149851   .0377529    13.64   0.000     .4409907    .5889795
              7_75000+  |   .7679739   .0360381    21.31   0.000     .6973403    .8386075
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |  -.0212594   .1137244    -0.19   0.852    -.2441554    .2016366
        1nHwhite_Multi  |   .1395694   .1330355     1.05   0.294    -.1211758    .4003146
           3NHPI_Multi  |   .2504678   .2074912     1.21   0.227     -.156208    .6571435
                4Other  |  -.0825306   .1143612    -0.72   0.471    -.3066748    .1416136
------------------------+----------------------------------------------------------------
exe_aerobic_advice_f4   |
               yearsold |  -.0014325   .0003896    -3.68   0.000     -.002196    -.000669
                        |
                   year |
                  2016  |  -.1073296    .057563    -1.86   0.062    -.2201511    .0054919
                  2017  |    -.05825   .0143291    -4.07   0.000    -.0863346   -.0301654
                  2018  |  -.4470309    .053228    -8.40   0.000    -.5513559   -.3427058
                  2019  |  -.0130791   .0140461    -0.93   0.352    -.0406089    .0144508
                  2020  |  -.3135085     .04189    -7.48   0.000    -.3956116   -.2314054
                        |
                   educ |
              1HighSch  |   .1501146   .0264059     5.68   0.000     .0983599    .2018692
          2SomeCollege  |   .3982538   .0265737    14.99   0.000     .3461704    .4503373
       3CollegeorAbove  |   .6341119   .0271257    23.38   0.000     .5809465    .6872773
                        |
               hhincome |
         1_10000-14999  |   .0091418   .0382096     0.24   0.811    -.0657477    .0840314
         2_15000-19999  |   .1185958   .0342532     3.46   0.001     .0514606    .1857309
         3_20000-24999  |   .1662942   .0338538     4.91   0.000     .0999419    .2326465
         4_25000-34999  |   .3023435   .0333452     9.07   0.000     .2369881     .367699
         5_35000-49999  |   .4109896   .0321864    12.77   0.000     .3479054    .4740738
         6_50000-74999  |   .5127384   .0320192    16.01   0.000     .4499819    .5754949
              7_75000+  |   .7228429    .030714    23.53   0.000     .6626445    .7830414
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |   .2209651    .105756     2.09   0.037     .0136869    .4282433
        1nHwhite_Multi  |   .3658058   .1215646     3.01   0.003     .1275433    .6040684
           3NHPI_Multi  |   .2871015   .1700328     1.69   0.091    -.0461571    .6203601
                4Other  |   .0531934   .1061786     0.50   0.616     -.154913    .2612998
------------------------+----------------------------------------------------------------
exe_strength_advice_f4  |
               yearsold |  -.0062906   .0004628   -13.59   0.000    -.0071977   -.0053835
                        |
                   year |
                  2016  |  -.0680877   .0761708    -0.89   0.371    -.2173799    .0812045
                  2017  |    .007435   .0168147     0.44   0.658    -.0255213    .0403914
                  2018  |   .0395043   .0641733     0.62   0.538    -.0862732    .1652817
                  2019  |   .2628605   .0163812    16.05   0.000     .2307539    .2949672
                  2020  |    .166516   .0529013     3.15   0.002     .0628313    .2702007
                        |
                   educ |
              1HighSch  |   .2005299   .0359832     5.57   0.000     .1300041    .2710557
          2SomeCollege  |   .4711288   .0355669    13.25   0.000     .4014189    .5408386
       3CollegeorAbove  |   .7370733    .036086    20.43   0.000     .6663459    .8078007
                        |
               hhincome |
         1_10000-14999  |   .0619629   .0499171     1.24   0.214     -.035873    .1597988
         2_15000-19999  |   .0509715   .0423449     1.20   0.229     -.032023     .133966
         3_20000-24999  |   .1079832   .0430273     2.51   0.012     .0236511    .1923153
         4_25000-34999  |   .1414042   .0416804     3.39   0.001     .0597119    .2230964
         5_35000-49999  |   .1708452   .0394777     4.33   0.000     .0934703    .2482202
         6_50000-74999  |   .2536846   .0394453     6.43   0.000     .1763732     .330996
              7_75000+  |   .4178669   .0381229    10.96   0.000     .3431474    .4925865
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |  -.0776248   .1121769    -0.69   0.489    -.2974877    .1422382
        1nHwhite_Multi  |   .0806582   .1316647     0.61   0.540    -.1774002    .3387165
           3NHPI_Multi  |   .2531021    .206907     1.22   0.221    -.1524287    .6586329
                4Other  |  -.1208009   .1128189    -1.07   0.284    -.3419222    .1003205
------------------------+----------------------------------------------------------------
/exe_aerobic_advice_m1  |
                   cut1 |  -.9434945   .1070286                     -1.153267    -.733722
                   cut2 |  -.0728768   .1070029                     -.2825989    .1368454
------------------------+----------------------------------------------------------------
/exe_strength_advice_m1 |
                   cut1 |  -.2851876     .10424                     -.4894946   -.0808806
------------------------+----------------------------------------------------------------
/exe_aerobic_advice_m2  |
                   cut1 |  -.3576147   .1099326                     -.5730789   -.1421506
                   cut2 |   .5393296   .1099805                      .3237716    .7548877
------------------------+----------------------------------------------------------------
/exe_strength_advice_m2 |
                   cut1 |   .2240977   .1055077                      .0173061    .4308894
------------------------+----------------------------------------------------------------
/exe_aerobic_advice_m3  |
                   cut1 |   -.370491   .1129386                      -.591847   -.1491351
                   cut2 |   .5231174   .1129584                      .3017228     .744512
------------------------+----------------------------------------------------------------
/exe_strength_advice_m3 |
                   cut1 |   .1999068   .1120662                     -.0197392    .4195528
------------------------+----------------------------------------------------------------
/exe_aerobic_advice_m4  |
                   cut1 |  -.1316577   .1143227                     -.3557264    .0924109
                   cut2 |   .7734601   .1143757                      .5492877    .9976326
------------------------+----------------------------------------------------------------
/exe_strength_advice_m4 |
                   cut1 |   .4357991   .1117277                      .2168166    .6547816
------------------------+----------------------------------------------------------------
/exe_aerobic_advice_f1  |
                   cut1 |  -.8491649   .1059551                     -1.056833   -.6414965
                   cut2 |     .03201   .1059141                     -.1755781     .239598
------------------------+----------------------------------------------------------------
/exe_strength_advice_f1 |
                   cut1 |   .6341192   .1142096                      .4102721    .8579662
------------------------+----------------------------------------------------------------
/exe_aerobic_advice_f2  |
                   cut1 |  -.2229611   .1048004                     -.4283664   -.0175557
                   cut2 |   .6818232   .1048479                      .4763249    .8873215
------------------------+----------------------------------------------------------------
/exe_strength_advice_f2 |
                   cut1 |    1.24918   .1170256                      1.019814    1.478547
------------------------+----------------------------------------------------------------
/exe_aerobic_advice_f3  |
                   cut1 |  -.2440426   .1137476                     -.4669841   -.0211011
                   cut2 |   .6630024   .1137374                      .4400808     .885924
------------------------+----------------------------------------------------------------
/exe_strength_advice_f3 |
                   cut1 |   1.109715   .1198782                       .874758    1.344673
------------------------+----------------------------------------------------------------
/exe_aerobic_advice_f4  |
                   cut1 |  -.0352588   .1115783                     -.2539487     .183431
                   cut2 |   .8794757   .1116248                      .6606948    1.098257
------------------------+----------------------------------------------------------------
/exe_strength_advice_f4 |
                   cut1 |   1.365086   .1206728                      1.128572    1.601601
-----------------------------------------------------------------------------------------
Note: Strata with single sampling unit centered at overall mean.
r; t=407.39 0:19:05

. 
. 
. 
. 
. 
. 
. *Meeting aerobic exercise recommendation among men without mediators
. lincom _b[exe_aerobic_advice_m1:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.021092   .1078451     0.20   0.843     .8301624    1.255934
------------------------------------------------------------------------------
r; t=0.06 0:19:05

. matrix aerobic_m1_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:05

. local aerobic_m1_race0_se="(" + string(aerobic_m1_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:19:05

. local aerobic_m1_race0_p=aerobic_m1_race0[3,1]
r; t=0.00 0:19:05

. if `aerobic_m1_race0_p'<0.001 {
.         local aerobic_m1_race0_est=string(aerobic_m1_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:19:05
. }
r; t=0.00 0:19:05

. else if `aerobic_m1_race0_p'<0.01 {
.         local aerobic_m1_race0_est=string(aerobic_m1_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:19:05
. }
r; t=0.00 0:19:05

. else if `aerobic_m1_race0_p'<0.05 {
.         local aerobic_m1_race0_est=string(aerobic_m1_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:19:05
. }
r; t=0.00 0:19:05

. else {
.         local aerobic_m1_race0_est=string(aerobic_m1_race0[1,1], "%3.2f")
r; t=0.00 0:19:05
. }
r; t=0.00 0:19:05

. 
. 
. lincom _b[exe_aerobic_advice_m1:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9104775   .1101615    -0.78   0.438     .7182566    1.154141
------------------------------------------------------------------------------
r; t=0.05 0:19:05

. matrix aerobic_m1_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:05

. local aerobic_m1_race1_se="(" + string(aerobic_m1_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:19:05

. local aerobic_m1_race1_p=aerobic_m1_race1[3,1]
r; t=0.00 0:19:05

. if `aerobic_m1_race1_p'<0.001 {
.         local aerobic_m1_race1_est=string(aerobic_m1_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:19:05
. }
r; t=0.00 0:19:05

. else if `aerobic_m1_race1_p'<0.01 {
.         local aerobic_m1_race1_est=string(aerobic_m1_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:19:05
. }
r; t=0.00 0:19:05

. else if `aerobic_m1_race1_p'<0.05 {
.         local aerobic_m1_race1_est=string(aerobic_m1_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:19:05
. }
r; t=0.00 0:19:05

. else {
.         local aerobic_m1_race1_est=string(aerobic_m1_race1[1,1], "%3.2f")
r; t=0.00 0:19:05
. }
r; t=0.00 0:19:05

. 
. 
. lincom _b[exe_aerobic_advice_m1:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.270619    .203574     1.49   0.135     .9281939     1.73937
------------------------------------------------------------------------------
r; t=0.04 0:19:05

. matrix aerobic_m1_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:05

. local aerobic_m1_race3_se="(" + string(aerobic_m1_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:19:05

. local aerobic_m1_race3_p=aerobic_m1_race3[3,1]
r; t=0.00 0:19:05

. if `aerobic_m1_race3_p'<0.001 {
.         local aerobic_m1_race3_est=string(aerobic_m1_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:19:05
. }
r; t=0.00 0:19:05

. else if `aerobic_m1_race3_p'<0.01 {
.         local aerobic_m1_race3_est=string(aerobic_m1_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:19:05
. }
r; t=0.00 0:19:05

. else if `aerobic_m1_race3_p'<0.05 {
.         local aerobic_m1_race3_est=string(aerobic_m1_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:19:05
. }
r; t=0.00 0:19:05

. else {
.         local aerobic_m1_race3_est=string(aerobic_m1_race3[1,1], "%3.2f")
r; t=0.00 0:19:05
. }
r; t=0.00 0:19:05

. 
. 
. lincom _b[exe_aerobic_advice_m1:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7518937   .0797818    -2.69   0.007     .6107131    .9257115
------------------------------------------------------------------------------
r; t=0.03 0:19:05

. matrix aerobic_m1_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:05

. local aerobic_m1_race4_se="(" + string(aerobic_m1_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:19:05

. local aerobic_m1_race4_p=aerobic_m1_race4[3,1]
r; t=0.00 0:19:05

. if `aerobic_m1_race4_p'<0.001 {
.         local aerobic_m1_race4_est=string(aerobic_m1_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:19:05
. }
r; t=0.00 0:19:05

. else if `aerobic_m1_race4_p'<0.01 {
.         local aerobic_m1_race4_est=string(aerobic_m1_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:19:05
. }
r; t=0.00 0:19:05

. else if `aerobic_m1_race4_p'<0.05 {
.         local aerobic_m1_race4_est=string(aerobic_m1_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:19:05
. }
r; t=0.00 0:19:05

. else {
.         local aerobic_m1_race4_est=string(aerobic_m1_race4[1,1], "%3.2f")
r; t=0.00 0:19:05
. }
r; t=0.00 0:19:05

. 
. 
. 
. *Meeting aerobic exercise recommendation among men with education mediator
. lincom _b[exe_aerobic_advice_m2:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8496248   .0905011    -1.53   0.126     .6895377    1.046879
------------------------------------------------------------------------------
r; t=0.04 0:19:05

. matrix aerobic_m2_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:05

. local aerobic_m2_race0_se="(" + string(aerobic_m2_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:19:05

. local aerobic_m2_race0_p=aerobic_m2_race0[3,1]
r; t=0.00 0:19:05

. if `aerobic_m2_race0_p'<0.001 {
.         local aerobic_m2_race0_est=string(aerobic_m2_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:19:05
. }
r; t=0.00 0:19:05

. else if `aerobic_m2_race0_p'<0.01 {
.         local aerobic_m2_race0_est=string(aerobic_m2_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:19:05
. }
r; t=0.00 0:19:05

. else if `aerobic_m2_race0_p'<0.05 {
.         local aerobic_m2_race0_est=string(aerobic_m2_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:19:05
. }
r; t=0.00 0:19:05

. else {
.         local aerobic_m2_race0_est=string(aerobic_m2_race0[1,1], "%3.2f")
r; t=0.00 0:19:05
. }
r; t=0.00 0:19:05

. 
. 
. lincom _b[exe_aerobic_advice_m2:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8023058   .0979059    -1.81   0.071     .6316363    1.019091
------------------------------------------------------------------------------
r; t=0.05 0:19:06

. matrix aerobic_m2_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:06

. local aerobic_m2_race1_se="(" + string(aerobic_m2_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:19:06

. local aerobic_m2_race1_p=aerobic_m2_race1[3,1]
r; t=0.00 0:19:06

. if `aerobic_m2_race1_p'<0.001 {
.         local aerobic_m2_race1_est=string(aerobic_m2_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else if `aerobic_m2_race1_p'<0.01 {
.         local aerobic_m2_race1_est=string(aerobic_m2_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else if `aerobic_m2_race1_p'<0.05 {
.         local aerobic_m2_race1_est=string(aerobic_m2_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else {
.         local aerobic_m2_race1_est=string(aerobic_m2_race1[1,1], "%3.2f")
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. 
. 
. lincom _b[exe_aerobic_advice_m2:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.179812   .1858582     1.05   0.294     .8664056    1.606588
------------------------------------------------------------------------------
r; t=0.04 0:19:06

. matrix aerobic_m2_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:06

. local aerobic_m2_race3_se="(" + string(aerobic_m2_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:19:06

. local aerobic_m2_race3_p=aerobic_m2_race3[3,1]
r; t=0.00 0:19:06

. if `aerobic_m2_race3_p'<0.001 {
.         local aerobic_m2_race3_est=string(aerobic_m2_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else if `aerobic_m2_race3_p'<0.01 {
.         local aerobic_m2_race3_est=string(aerobic_m2_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else if `aerobic_m2_race3_p'<0.05 {
.         local aerobic_m2_race3_est=string(aerobic_m2_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else {
.         local aerobic_m2_race3_est=string(aerobic_m2_race3[1,1], "%3.2f")
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. 
. 
. lincom _b[exe_aerobic_advice_m2:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7218139   .0772187    -3.05   0.002     .5852814    .8901962
------------------------------------------------------------------------------
r; t=0.04 0:19:06

. matrix aerobic_m2_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:06

. local aerobic_m2_race4_se="(" + string(aerobic_m2_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:19:06

. local aerobic_m2_race4_p=aerobic_m2_race4[3,1]
r; t=0.00 0:19:06

. if `aerobic_m2_race4_p'<0.001 {
.         local aerobic_m2_race4_est=string(aerobic_m2_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else if `aerobic_m2_race4_p'<0.01 {
.         local aerobic_m2_race4_est=string(aerobic_m2_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else if `aerobic_m2_race4_p'<0.05 {
.         local aerobic_m2_race4_est=string(aerobic_m2_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else {
.         local aerobic_m2_race4_est=string(aerobic_m2_race4[1,1], "%3.2f")
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. 
. 
. *Test if education explains difference between NHPI and each racial/ethnic group
. lincom _b[exe_aerobic_advice_m1:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m2:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]0.praceethnicgp_multi_sim - [exe_aerobic_advice_m2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.201815   .0240866     9.17   0.000     1.155522    1.249964
------------------------------------------------------------------------------
r; t=0.04 0:19:06

. local aerobic_m12_race0=`r(p)'
r; t=0.00 0:19:06

. 
. lincom _b[exe_aerobic_advice_m1:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m2:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]1.praceethnicgp_multi_sim - [exe_aerobic_advice_m2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.134826   .0258635     5.55   0.000      1.08525    1.186667
------------------------------------------------------------------------------
r; t=0.04 0:19:06

. local aerobic_m12_race1=`r(p)'
r; t=0.00 0:19:06

. 
. lincom _b[exe_aerobic_advice_m1:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m2:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]3.praceethnicgp_multi_sim - [exe_aerobic_advice_m2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.076967   .0338145     2.36   0.018      1.01269    1.145324
------------------------------------------------------------------------------
r; t=0.04 0:19:06

. local aerobic_m12_race3=`r(p)'
r; t=0.00 0:19:06

. 
. lincom _b[exe_aerobic_advice_m1:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m2:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]4.praceethnicgp_multi_sim - [exe_aerobic_advice_m2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.041673   .0206778     2.06   0.040     1.001923    1.082999
------------------------------------------------------------------------------
r; t=0.05 0:19:06

. local aerobic_m12_race4=`r(p)'
r; t=0.00 0:19:06

. 
. 
. *Meeting aerobic exercise recommendation among men with household income mediator
. lincom _b[exe_aerobic_advice_m3:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8214717   .0883233    -1.83   0.067     .6653846    1.014174
------------------------------------------------------------------------------
r; t=0.03 0:19:06

. matrix aerobic_m3_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:06

. local aerobic_m3_race0_se="(" + string(aerobic_m3_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:19:06

. local aerobic_m3_race0_p=aerobic_m3_race0[3,1]
r; t=0.00 0:19:06

. if `aerobic_m3_race0_p'<0.001 {
.         local aerobic_m3_race0_est=string(aerobic_m3_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else if `aerobic_m3_race0_p'<0.01 {
.         local aerobic_m3_race0_est=string(aerobic_m3_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else if `aerobic_m3_race0_p'<0.05 {
.         local aerobic_m3_race0_est=string(aerobic_m3_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else {
.         local aerobic_m3_race0_est=string(aerobic_m3_race0[1,1], "%3.2f")
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. 
. 
. lincom _b[exe_aerobic_advice_m3:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8060039   .0991545    -1.75   0.080     .6333188    1.025775
------------------------------------------------------------------------------
r; t=0.04 0:19:06

. matrix aerobic_m3_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:06

. local aerobic_m3_race1_se="(" + string(aerobic_m3_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:19:06

. local aerobic_m3_race1_p=aerobic_m3_race1[3,1]
r; t=0.00 0:19:06

. if `aerobic_m3_race1_p'<0.001 {
.         local aerobic_m3_race1_est=string(aerobic_m3_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else if `aerobic_m3_race1_p'<0.01 {
.         local aerobic_m3_race1_est=string(aerobic_m3_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else if `aerobic_m3_race1_p'<0.05 {
.         local aerobic_m3_race1_est=string(aerobic_m3_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else {
.         local aerobic_m3_race1_est=string(aerobic_m3_race1[1,1], "%3.2f")
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. 
. 
. lincom _b[exe_aerobic_advice_m3:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.125959   .1797142     0.74   0.457     .8234974    1.539511
------------------------------------------------------------------------------
r; t=0.04 0:19:06

. matrix aerobic_m3_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:06

. local aerobic_m3_race3_se="(" + string(aerobic_m3_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:19:06

. local aerobic_m3_race3_p=aerobic_m3_race3[3,1]
r; t=0.00 0:19:06

. if `aerobic_m3_race3_p'<0.001 {
.         local aerobic_m3_race3_est=string(aerobic_m3_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else if `aerobic_m3_race3_p'<0.01 {
.         local aerobic_m3_race3_est=string(aerobic_m3_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else if `aerobic_m3_race3_p'<0.05 {
.         local aerobic_m3_race3_est=string(aerobic_m3_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else {
.         local aerobic_m3_race3_est=string(aerobic_m3_race3[1,1], "%3.2f")
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. 
. 
. lincom _b[exe_aerobic_advice_m3:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7292898   .0787299    -2.92   0.003     .5902137    .9011375
------------------------------------------------------------------------------
r; t=0.04 0:19:06

. matrix aerobic_m3_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:06

. local aerobic_m3_race4_se="(" + string(aerobic_m3_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:19:06

. local aerobic_m3_race4_p=aerobic_m3_race4[3,1]
r; t=0.00 0:19:06

. if `aerobic_m3_race4_p'<0.001 {
.         local aerobic_m3_race4_est=string(aerobic_m3_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else if `aerobic_m3_race4_p'<0.01 {
.         local aerobic_m3_race4_est=string(aerobic_m3_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else if `aerobic_m3_race4_p'<0.05 {
.         local aerobic_m3_race4_est=string(aerobic_m3_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else {
.         local aerobic_m3_race4_est=string(aerobic_m3_race4[1,1], "%3.2f")
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. 
. 
. *Test if household income explains difference between NHPI and each racial/ethnic group
. lincom _b[exe_aerobic_advice_m1:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m3:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]0.praceethnicgp_multi_sim - [exe_aerobic_advice_m3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.243003   .0235375    11.49   0.000     1.197716    1.290003
------------------------------------------------------------------------------
r; t=0.04 0:19:06

. local aerobic_m13_race0=`r(p)'
r; t=0.00 0:19:06

. 
. lincom _b[exe_aerobic_advice_m1:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m3:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]1.praceethnicgp_multi_sim - [exe_aerobic_advice_m3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.129619   .0244956     5.62   0.000     1.082615    1.178665
------------------------------------------------------------------------------
r; t=0.04 0:19:06

. local aerobic_m13_race1=`r(p)'
r; t=0.00 0:19:06

. 
. lincom _b[exe_aerobic_advice_m1:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m3:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]3.praceethnicgp_multi_sim - [exe_aerobic_advice_m3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.128477   .0419426     3.25   0.001     1.049194    1.213751
------------------------------------------------------------------------------
r; t=0.05 0:19:06

. local aerobic_m13_race3=`r(p)'
r; t=0.00 0:19:06

. 
. lincom _b[exe_aerobic_advice_m1:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m3:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]4.praceethnicgp_multi_sim - [exe_aerobic_advice_m3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.030994   .0191781     1.64   0.101     .9940829    1.069276
------------------------------------------------------------------------------
r; t=0.04 0:19:06

. local aerobic_m13_race4=`r(p)'
r; t=0.00 0:19:06

. 
. 
. *Meeting aerobic exercise recommendation among men with two mediators
. lincom _b[exe_aerobic_advice_m4:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m4]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    .773258   .0831761    -2.39   0.017     .6262736     .954739
------------------------------------------------------------------------------
r; t=0.04 0:19:06

. matrix aerobic_m4_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:06

. local aerobic_m4_race0_se="(" + string(aerobic_m4_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:19:06

. local aerobic_m4_race0_p=aerobic_m4_race0[3,1]
r; t=0.00 0:19:06

. if `aerobic_m4_race0_p'<0.001 {
.         local aerobic_m4_race0_est=string(aerobic_m4_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else if `aerobic_m4_race0_p'<0.01 {
.         local aerobic_m4_race0_est=string(aerobic_m4_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else if `aerobic_m4_race0_p'<0.05 {
.         local aerobic_m4_race0_est=string(aerobic_m4_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else {
.         local aerobic_m4_race0_est=string(aerobic_m4_race0[1,1], "%3.2f")
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. 
. 
. lincom _b[exe_aerobic_advice_m4:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m4]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7645496   .0940942    -2.18   0.029     .6006853    .9731154
------------------------------------------------------------------------------
r; t=0.04 0:19:06

. matrix aerobic_m4_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:06

. local aerobic_m4_race1_se="(" + string(aerobic_m4_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:19:06

. local aerobic_m4_race1_p=aerobic_m4_race1[3,1]
r; t=0.00 0:19:06

. if `aerobic_m4_race1_p'<0.001 {
.         local aerobic_m4_race1_est=string(aerobic_m4_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else if `aerobic_m4_race1_p'<0.01 {
.         local aerobic_m4_race1_est=string(aerobic_m4_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else if `aerobic_m4_race1_p'<0.05 {
.         local aerobic_m4_race1_est=string(aerobic_m4_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else {
.         local aerobic_m4_race1_est=string(aerobic_m4_race1[1,1], "%3.2f")
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. 
. 
. lincom _b[exe_aerobic_advice_m4:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m4]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.114226   .1769655     0.68   0.496      .816173    1.521124
------------------------------------------------------------------------------
r; t=0.04 0:19:06

. matrix aerobic_m4_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:06

. local aerobic_m4_race3_se="(" + string(aerobic_m4_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:19:06

. local aerobic_m4_race3_p=aerobic_m4_race3[3,1]
r; t=0.00 0:19:06

. if `aerobic_m4_race3_p'<0.001 {
.         local aerobic_m4_race3_est=string(aerobic_m4_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else if `aerobic_m4_race3_p'<0.01 {
.         local aerobic_m4_race3_est=string(aerobic_m4_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else if `aerobic_m4_race3_p'<0.05 {
.         local aerobic_m4_race3_est=string(aerobic_m4_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else {
.         local aerobic_m4_race3_est=string(aerobic_m4_race3[1,1], "%3.2f")
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. 
. 
. lincom _b[exe_aerobic_advice_m4:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m4]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7154203   .0772696    -3.10   0.002     .5789303    .8840894
------------------------------------------------------------------------------
r; t=0.05 0:19:06

. matrix aerobic_m4_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:06

. local aerobic_m4_race4_se="(" + string(aerobic_m4_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:19:06

. local aerobic_m4_race4_p=aerobic_m4_race4[3,1]
r; t=0.00 0:19:06

. if `aerobic_m4_race4_p'<0.001 {
.         local aerobic_m4_race4_est=string(aerobic_m4_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else if `aerobic_m4_race4_p'<0.01 {
.         local aerobic_m4_race4_est=string(aerobic_m4_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else if `aerobic_m4_race4_p'<0.05 {
.         local aerobic_m4_race4_est=string(aerobic_m4_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. else {
.         local aerobic_m4_race4_est=string(aerobic_m4_race4[1,1], "%3.2f")
r; t=0.00 0:19:06
. }
r; t=0.00 0:19:06

. 
. 
. 
. *Test if two mediators explains difference between NHPI and each racial/ethnic group
. lincom _b[exe_aerobic_advice_m1:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m4:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]0.praceethnicgp_multi_sim - [exe_aerobic_advice_m4]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.320506    .030752    11.94   0.000     1.261588    1.382176
------------------------------------------------------------------------------
r; t=0.04 0:19:06

. local aerobic_m14_race0=`r(p)'
r; t=0.00 0:19:06

. 
. lincom _b[exe_aerobic_advice_m1:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m4:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]1.praceethnicgp_multi_sim - [exe_aerobic_advice_m4]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.190868   .0312474     6.66   0.000     1.131172    1.253714
------------------------------------------------------------------------------
r; t=0.04 0:19:06

. local aerobic_m14_race1=`r(p)'
r; t=0.00 0:19:06

. 
. lincom _b[exe_aerobic_advice_m1:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m4:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]3.praceethnicgp_multi_sim - [exe_aerobic_advice_m4]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    1.14036   .0490114     3.06   0.002     1.048234    1.240583
------------------------------------------------------------------------------
r; t=0.04 0:19:06

. local aerobic_m14_race3=`r(p)'
r; t=0.00 0:19:06

. 
. lincom _b[exe_aerobic_advice_m1:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m4:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]4.praceethnicgp_multi_sim - [exe_aerobic_advice_m4]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.050982   .0241514     2.16   0.030     1.004696      1.0994
------------------------------------------------------------------------------
r; t=0.04 0:19:06

. local aerobic_m14_race4=`r(p)'
r; t=0.00 0:19:06

. 
. 
. *Store the number of observations in each model
. matrix `mname'_obs=e(_N)
r; t=0.00 0:19:06

. local aerobic_m1_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_m1")]
r; t=0.00 0:19:06

. local aerobic_m2_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_m2")]
r; t=0.00 0:19:06

. local aerobic_m3_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_m3")]
r; t=0.00 0:19:06

. local aerobic_m4_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_m4")]
r; t=0.00 0:19:06

. 
. 
. /*
> matrix Output=(aerobic_m1_race0, aerobic_m2_race0, aerobic_m12_race0, aerobic_m3_race0, aerobic_m13_race0, aerobic_m4_
> race0, aerobic_m14_race0 \ ///
> aerobic_m1_race1, aerobic_m2_race1, aerobic_m12_race1, aerobic_m3_race1, aerobic_m13_race1, aerobic_m4_race1, aerobic_
> m14_race1 \ ///
> aerobic_m1_race3, aerobic_m2_race3, aerobic_m12_race3, aerobic_m3_race3, aerobic_m13_race3, aerobic_m4_race3, aerobic_
> m14_race3 \ ///
> aerobic_m1_race4, aerobic_m2_race4, aerobic_m12_race4, aerobic_m3_race4, aerobic_m13_race4, aerobic_m4_race4, aerobic_
> m14_race4)
> matrix list Output
> */
. putexcel set "model/brfss2015-2019-pathanalysis-tableoutput/aerobic_m", replace
Note: file will be replaced when the first putexcel command is issued
r; t=0.04 0:19:06

. putexcel A1=("") B1=("Estimates without mediators") C1=("Estimates with education mediator") D1=("Wald test with estim
> ates without mediators (p-value)")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 0:19:07

. putexcel E1=("Estimates with household income mediator") F1=("Wald test with estimates without mediators (p-value)") G
> 1=("Estimates with two mediators") H1=("Wald test with estimates without mediators (p-value)")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 0:19:07

. putexcel A2=("nHwhite (single) Odds ratio") A3=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.03 0:19:07

. putexcel A4=("nHwhite (multirace) Odds ratio") A5=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 0:19:07

. putexcel A6=("NHPI (multirace) Odds ratio") A7=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.03 0:19:07

. putexcel A8=("other racial/ethnic groups Odds ratio") A9=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 0:19:07

. putexcel A10=("No. of observations")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 0:19:07

. putexcel B2="`aerobic_m1_race0_est'" B3="`aerobic_m1_race0_se'" B4="`aerobic_m1_race1_est'" B5="`aerobic_m1_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 0:19:07

. putexcel B6="`aerobic_m1_race3_est'" B7="`aerobic_m1_race3_se'" B8="`aerobic_m1_race4_est'" B9="`aerobic_m1_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.01 0:19:07

. putexcel B10=`aerobic_m1_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.03 0:19:07

. putexcel C2="`aerobic_m2_race0_est'" C3="`aerobic_m2_race0_se'" C4="`aerobic_m2_race1_est'" C5="`aerobic_m2_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 0:19:07

. putexcel C6="`aerobic_m2_race3_est'" C7="`aerobic_m2_race3_se'" C8="`aerobic_m2_race4_est'" C9="`aerobic_m2_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 0:19:07

. putexcel C10=`aerobic_m2_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 0:19:07

. putexcel D2=`aerobic_m12_race0' D4=`aerobic_m12_race1' D6=`aerobic_m12_race3' D8=`aerobic_m12_race4', nformat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 0:19:07

. putexcel E2="`aerobic_m3_race0_est'" E3="`aerobic_m3_race0_se'" E4="`aerobic_m3_race1_est'" E5="`aerobic_m3_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 0:19:07

. putexcel E6="`aerobic_m3_race3_est'" E7="`aerobic_m3_race3_se'" E8="`aerobic_m3_race4_est'" E9="`aerobic_m3_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 0:19:07

. putexcel E10=`aerobic_m3_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 0:19:07

. putexcel F2=`aerobic_m13_race0' F4=`aerobic_m13_race1' F6=`aerobic_m13_race3' F8=`aerobic_m13_race4', nformat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 0:19:07

. putexcel G2="`aerobic_m4_race0_est'" G3="`aerobic_m4_race0_se'" G4="`aerobic_m4_race1_est'" G5="`aerobic_m4_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 0:19:07

. putexcel G6="`aerobic_m4_race3_est'" G7="`aerobic_m4_race3_se'" G8="`aerobic_m4_race4_est'" G9="`aerobic_m4_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 0:19:07

. putexcel G10=`aerobic_m4_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 0:19:07

. putexcel H2=`aerobic_m14_race0' H4=`aerobic_m14_race1' H6=`aerobic_m14_race3' H8=`aerobic_m14_race4', nformat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.01 0:19:07

. putexcel close
r; t=0.00 0:19:07

. 
. 
. 
. 
. 
. 
. *Meeting muscle strengthening recommendation among men without mediators
. lincom _b[exe_strength_advice_m1:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m1]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7622471   .0780125    -2.65   0.008     .6237049    .9315634
------------------------------------------------------------------------------
r; t=0.04 0:19:07

. matrix strength_m1_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:07

. local strength_m1_race0_se="(" + string(strength_m1_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:19:07

. local strength_m1_race0_p=strength_m1_race0[3,1]
r; t=0.00 0:19:07

. if `strength_m1_race0_p'<0.001 {
.         local strength_m1_race0_est=string(strength_m1_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else if `strength_m1_race0_p'<0.01 {
.         local strength_m1_race0_est=string(strength_m1_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else if `strength_m1_race0_p'<0.05 {
.         local strength_m1_race0_est=string(strength_m1_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else {
.         local strength_m1_race0_est=string(strength_m1_race0[1,1], "%3.2f")
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. 
. 
. lincom _b[exe_strength_advice_m1:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m1]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8632849    .103473    -1.23   0.220      .682542     1.09189
------------------------------------------------------------------------------
r; t=0.04 0:19:07

. matrix strength_m1_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:07

. local strength_m1_race1_se="(" + string(strength_m1_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:19:07

. local strength_m1_race1_p=strength_m1_race1[3,1]
r; t=0.00 0:19:07

. if `strength_m1_race1_p'<0.001 {
.         local strength_m1_race1_est=string(strength_m1_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else if `strength_m1_race1_p'<0.01 {
.         local strength_m1_race1_est=string(strength_m1_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else if `strength_m1_race1_p'<0.05 {
.         local strength_m1_race1_est=string(strength_m1_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else {
.         local strength_m1_race1_est=string(strength_m1_race1[1,1], "%3.2f")
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. 
. 
. lincom _b[exe_strength_advice_m1:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m1]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.247006   .2189831     1.26   0.209      .883876    1.759324
------------------------------------------------------------------------------
r; t=0.04 0:19:07

. matrix strength_m1_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:07

. local strength_m1_race3_se="(" + string(strength_m1_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:19:07

. local strength_m1_race3_p=strength_m1_race3[3,1]
r; t=0.00 0:19:07

. if `strength_m1_race3_p'<0.001 {
.         local strength_m1_race3_est=string(strength_m1_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else if `strength_m1_race3_p'<0.01 {
.         local strength_m1_race3_est=string(strength_m1_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else if `strength_m1_race3_p'<0.05 {
.         local strength_m1_race3_est=string(strength_m1_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else {
.         local strength_m1_race3_est=string(strength_m1_race3[1,1], "%3.2f")
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. 
. 
. lincom _b[exe_strength_advice_m1:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m1]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7761845   .0799615    -2.46   0.014     .6342716    .9498493
------------------------------------------------------------------------------
r; t=0.04 0:19:07

. matrix strength_m1_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:07

. local strength_m1_race4_se="(" + string(strength_m1_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:19:07

. local strength_m1_race4_p=strength_m1_race4[3,1]
r; t=0.00 0:19:07

. if `strength_m1_race4_p'<0.001 {
.         local strength_m1_race4_est=string(strength_m1_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else if `strength_m1_race4_p'<0.01 {
.         local strength_m1_race4_est=string(strength_m1_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else if `strength_m1_race4_p'<0.05 {
.         local strength_m1_race4_est=string(strength_m1_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else {
.         local strength_m1_race4_est=string(strength_m1_race4[1,1], "%3.2f")
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. 
. 
. 
. *Meeting muscle strengthening recommendation among men with education mediator
. lincom _b[exe_strength_advice_m2:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    .657478   .0660781    -4.17   0.000     .5399249    .8006249
------------------------------------------------------------------------------
r; t=0.04 0:19:07

. matrix strength_m2_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:07

. local strength_m2_race0_se="(" + string(strength_m2_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:19:07

. local strength_m2_race0_p=strength_m2_race0[3,1]
r; t=0.00 0:19:07

. if `strength_m2_race0_p'<0.001 {
.         local strength_m2_race0_est=string(strength_m2_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else if `strength_m2_race0_p'<0.01 {
.         local strength_m2_race0_est=string(strength_m2_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else if `strength_m2_race0_p'<0.05 {
.         local strength_m2_race0_est=string(strength_m2_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else {
.         local strength_m2_race0_est=string(strength_m2_race0[1,1], "%3.2f")
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. 
. 
. lincom _b[exe_strength_advice_m2:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7769055   .0919852    -2.13   0.033     .6160079    .9798285
------------------------------------------------------------------------------
r; t=0.04 0:19:07

. matrix strength_m2_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:07

. local strength_m2_race1_se="(" + string(strength_m2_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:19:07

. local strength_m2_race1_p=strength_m2_race1[3,1]
r; t=0.00 0:19:07

. if `strength_m2_race1_p'<0.001 {
.         local strength_m2_race1_est=string(strength_m2_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else if `strength_m2_race1_p'<0.01 {
.         local strength_m2_race1_est=string(strength_m2_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else if `strength_m2_race1_p'<0.05 {
.         local strength_m2_race1_est=string(strength_m2_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else {
.         local strength_m2_race1_est=string(strength_m2_race1[1,1], "%3.2f")
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. 
. 
. lincom _b[exe_strength_advice_m2:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.179331   .2038482     0.95   0.340     .8404365    1.654881
------------------------------------------------------------------------------
r; t=0.04 0:19:07

. matrix strength_m2_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:07

. local strength_m2_race3_se="(" + string(strength_m2_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:19:07

. local strength_m2_race3_p=strength_m2_race3[3,1]
r; t=0.00 0:19:07

. if `strength_m2_race3_p'<0.001 {
.         local strength_m2_race3_est=string(strength_m2_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else if `strength_m2_race3_p'<0.01 {
.         local strength_m2_race3_est=string(strength_m2_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else if `strength_m2_race3_p'<0.05 {
.         local strength_m2_race3_est=string(strength_m2_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else {
.         local strength_m2_race3_est=string(strength_m2_race3[1,1], "%3.2f")
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. 
. 
. lincom _b[exe_strength_advice_m2:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7505231   .0758708    -2.84   0.005      .615624    .9149822
------------------------------------------------------------------------------
r; t=0.04 0:19:07

. matrix strength_m2_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:07

. local strength_m2_race4_se="(" + string(strength_m2_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:19:07

. local strength_m2_race4_p=strength_m2_race4[3,1]
r; t=0.00 0:19:07

. if `strength_m2_race4_p'<0.001 {
.         local strength_m2_race4_est=string(strength_m2_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else if `strength_m2_race4_p'<0.01 {
.         local strength_m2_race4_est=string(strength_m2_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else if `strength_m2_race4_p'<0.05 {
.         local strength_m2_race4_est=string(strength_m2_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else {
.         local strength_m2_race4_est=string(strength_m2_race4[1,1], "%3.2f")
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. 
. 
. *Test if education explains difference between NHPI and each racial/ethnic group
. lincom _b[exe_strength_advice_m1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_m2:0.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_m1]0.praceethnicgp_multi_sim - [exe_strength_advice_m2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    1.15935   .0188839     9.08   0.000     1.122923    1.196959
------------------------------------------------------------------------------
r; t=0.04 0:19:07

. local strength_m12_race0=`r(p)'
r; t=0.00 0:19:07

. 
. lincom _b[exe_strength_advice_m1:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_m2:1.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_m1]1.praceethnicgp_multi_sim - [exe_strength_advice_m2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.111184   .0198782     5.89   0.000     1.072898    1.150836
------------------------------------------------------------------------------
r; t=0.04 0:19:07

. local strength_m12_race1=`r(p)'
r; t=0.00 0:19:07

. 
. lincom _b[exe_strength_advice_m1:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_m2:3.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_m1]3.praceethnicgp_multi_sim - [exe_strength_advice_m2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.057384   .0259413     2.27   0.023     1.007743     1.10947
------------------------------------------------------------------------------
r; t=0.04 0:19:07

. local strength_m12_race3=`r(p)'
r; t=0.00 0:19:07

. 
. lincom _b[exe_strength_advice_m1:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_m2:4.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_m1]4.praceethnicgp_multi_sim - [exe_strength_advice_m2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.034191   .0162819     2.14   0.033     1.002767    1.066601
------------------------------------------------------------------------------
r; t=0.04 0:19:07

. local strength_m12_race4=`r(p)'
r; t=0.00 0:19:07

. 
. 
. *Meeting muscle strengthening recommendation among men with hosuehold income mediator
. lincom _b[exe_strength_advice_m3:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6524562   .0681248    -4.09   0.000     .5317102    .8006225
------------------------------------------------------------------------------
r; t=0.06 0:19:07

. matrix strength_m3_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:07

. local strength_m3_race0_se="(" + string(strength_m3_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:19:07

. local strength_m3_race0_p=strength_m3_race0[3,1]
r; t=0.00 0:19:07

. if `strength_m3_race0_p'<0.001 {
.         local strength_m3_race0_est=string(strength_m3_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else if `strength_m3_race0_p'<0.01 {
.         local strength_m3_race0_est=string(strength_m3_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else if `strength_m3_race0_p'<0.05 {
.         local strength_m3_race0_est=string(strength_m3_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else {
.         local strength_m3_race0_est=string(strength_m3_race0[1,1], "%3.2f")
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. 
. 
. lincom _b[exe_strength_advice_m3:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7922773   .0959417    -1.92   0.055     .6248847    1.004511
------------------------------------------------------------------------------
r; t=0.04 0:19:07

. matrix strength_m3_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:07

. local strength_m3_race1_se="(" + string(strength_m3_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:19:07

. local strength_m3_race1_p=strength_m3_race1[3,1]
r; t=0.00 0:19:07

. if `strength_m3_race1_p'<0.001 {
.         local strength_m3_race1_est=string(strength_m3_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else if `strength_m3_race1_p'<0.01 {
.         local strength_m3_race1_est=string(strength_m3_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else if `strength_m3_race1_p'<0.05 {
.         local strength_m3_race1_est=string(strength_m3_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. else {
.         local strength_m3_race1_est=string(strength_m3_race1[1,1], "%3.2f")
r; t=0.00 0:19:07
. }
r; t=0.00 0:19:07

. 
. 
. lincom _b[exe_strength_advice_m3:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.151098   .2042329     0.79   0.428     .8129955    1.629808
------------------------------------------------------------------------------
r; t=0.05 0:19:08

. matrix strength_m3_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:08

. local strength_m3_race3_se="(" + string(strength_m3_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:19:08

. local strength_m3_race3_p=strength_m3_race3[3,1]
r; t=0.00 0:19:08

. if `strength_m3_race3_p'<0.001 {
.         local strength_m3_race3_est=string(strength_m3_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:19:08
. }
r; t=0.00 0:19:08

. else if `strength_m3_race3_p'<0.01 {
.         local strength_m3_race3_est=string(strength_m3_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:19:08
. }
r; t=0.00 0:19:08

. else if `strength_m3_race3_p'<0.05 {
.         local strength_m3_race3_est=string(strength_m3_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:19:08
. }
r; t=0.00 0:19:08

. else {
.         local strength_m3_race3_est=string(strength_m3_race3[1,1], "%3.2f")
r; t=0.00 0:19:08
. }
r; t=0.00 0:19:08

. 
. 
. lincom _b[exe_strength_advice_m3:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7598568   .0797764    -2.62   0.009     .6185361    .9334658
------------------------------------------------------------------------------
r; t=0.05 0:19:08

. matrix strength_m3_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:08

. local strength_m3_race4_se="(" + string(strength_m3_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:19:08

. local strength_m3_race4_p=strength_m3_race4[3,1]
r; t=0.00 0:19:08

. if `strength_m3_race4_p'<0.001 {
.         local strength_m3_race4_est=string(strength_m3_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:19:08
. }
r; t=0.00 0:19:08

. else if `strength_m3_race4_p'<0.01 {
.         local strength_m3_race4_est=string(strength_m3_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:19:08
. }
r; t=0.00 0:19:08

. else if `strength_m3_race4_p'<0.05 {
.         local strength_m3_race4_est=string(strength_m3_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:19:08
. }
r; t=0.00 0:19:08

. else {
.         local strength_m3_race4_est=string(strength_m3_race4[1,1], "%3.2f")
r; t=0.00 0:19:08
. }
r; t=0.00 0:19:08

. 
. 
. *Test if education explains difference between NHPI and each racial/ethnic group
. lincom _b[exe_strength_advice_m1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_m3:0.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_m1]0.praceethnicgp_multi_sim - [exe_strength_advice_m3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.168273   .0168714    10.77   0.000     1.135669    1.201813
------------------------------------------------------------------------------
r; t=0.05 0:19:08

. local strength_m13_race0=`r(p)'
r; t=0.00 0:19:08

. 
. lincom _b[exe_strength_advice_m1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_m3:1.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_m1]0.praceethnicgp_multi_sim - [exe_strength_advice_m3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9620964   .0615176    -0.60   0.546     .8487733     1.09055
------------------------------------------------------------------------------
r; t=0.04 0:19:08

. local strength_m13_race1=`r(p)'
r; t=0.00 0:19:08

. 
. lincom _b[exe_strength_advice_m1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_m3:3.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_m1]0.praceethnicgp_multi_sim - [exe_strength_advice_m3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6621914    .095772    -2.85   0.004     .4987411    .8792087
------------------------------------------------------------------------------
r; t=0.04 0:19:08

. local strength_m13_race3=`r(p)'
r; t=0.00 0:19:08

. 
. lincom _b[exe_strength_advice_m1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_m3:4.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_m1]0.praceethnicgp_multi_sim - [exe_strength_advice_m3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.003146   .0212787     0.15   0.882     .9622953     1.04573
------------------------------------------------------------------------------
r; t=0.03 0:19:08

. local strength_m13_race4=`r(p)'
r; t=0.00 0:19:08

. 
. 
. *Meeting muscle strengthening recommendation among men with two mediators
. lincom _b[exe_strength_advice_m4:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m4]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6194281   .0631826    -4.70   0.000     .5071857    .7565103
------------------------------------------------------------------------------
r; t=0.05 0:19:08

. matrix strength_m4_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:08

. local strength_m4_race0_se="(" + string(strength_m4_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:19:08

. local strength_m4_race0_p=strength_m4_race0[3,1]
r; t=0.00 0:19:08

. if `strength_m4_race0_p'<0.001 {
.         local strength_m4_race0_est=string(strength_m4_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:19:08
. }
r; t=0.00 0:19:08

. else if `strength_m4_race0_p'<0.01 {
.         local strength_m4_race0_est=string(strength_m4_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:19:08
. }
r; t=0.00 0:19:08

. else if `strength_m4_race0_p'<0.05 {
.         local strength_m4_race0_est=string(strength_m4_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:19:08
. }
r; t=0.00 0:19:08

. else {
.         local strength_m4_race0_est=string(strength_m4_race0[1,1], "%3.2f")
r; t=0.00 0:19:08
. }
r; t=0.00 0:19:08

. 
. 
. lincom _b[exe_strength_advice_m4:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m4]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7560372   .0901034    -2.35   0.019     .5985468    .9549667
------------------------------------------------------------------------------
r; t=0.03 0:19:08

. matrix strength_m4_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:08

. local strength_m4_race1_se="(" + string(strength_m4_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:19:08

. local strength_m4_race1_p=strength_m4_race1[3,1]
r; t=0.00 0:19:08

. if `strength_m4_race1_p'<0.001 {
.         local strength_m4_race1_est=string(strength_m4_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:19:08
. }
r; t=0.00 0:19:08

. else if `strength_m4_race1_p'<0.01 {
.         local strength_m4_race1_est=string(strength_m4_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:19:08
. }
r; t=0.00 0:19:08

. else if `strength_m4_race1_p'<0.05 {
.         local strength_m4_race1_est=string(strength_m4_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:19:08
. }
r; t=0.00 0:19:08

. else {
.         local strength_m4_race1_est=string(strength_m4_race1[1,1], "%3.2f")
r; t=0.00 0:19:08
. }
r; t=0.00 0:19:08

. 
. 
. lincom _b[exe_strength_advice_m4:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m4]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.141807   .2000861     0.76   0.449     .8098994    1.609735
------------------------------------------------------------------------------
r; t=0.04 0:19:08

. matrix strength_m4_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:08

. local strength_m4_race3_se="(" + string(strength_m4_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:19:08

. local strength_m4_race3_p=strength_m4_race3[3,1]
r; t=0.00 0:19:08

. if `strength_m4_race3_p'<0.001 {
.         local strength_m4_race3_est=string(strength_m4_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:19:08
. }
r; t=0.00 0:19:08

. else if `strength_m4_race3_p'<0.01 {
.         local strength_m4_race3_est=string(strength_m4_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:19:08
. }
r; t=0.00 0:19:08

. else if `strength_m4_race3_p'<0.05 {
.         local strength_m4_race3_est=string(strength_m4_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:19:08
. }
r; t=0.00 0:19:08

. else {
.         local strength_m4_race3_est=string(strength_m4_race3[1,1], "%3.2f")
r; t=0.00 0:19:08
. }
r; t=0.00 0:19:08

. 
. 
. lincom _b[exe_strength_advice_m4:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m4]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7465479   .0765732    -2.85   0.004     .6105905    .9127782
------------------------------------------------------------------------------
r; t=0.03 0:19:08

. matrix strength_m4_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:08

. local strength_m4_race4_se="(" + string(strength_m4_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:19:08

. local strength_m4_race4_p=strength_m4_race4[3,1]
r; t=0.00 0:19:08

. if `strength_m4_race4_p'<0.001 {
.         local strength_m4_race4_est=string(strength_m4_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:19:08
. }
r; t=0.00 0:19:08

. else if `strength_m4_race4_p'<0.01 {
.         local strength_m4_race4_est=string(strength_m4_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:19:08
. }
r; t=0.00 0:19:08

. else if `strength_m4_race4_p'<0.05 {
.         local strength_m4_race4_est=string(strength_m4_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:19:08
. }
r; t=0.00 0:19:08

. else {
.         local strength_m4_race4_est=string(strength_m4_race4[1,1], "%3.2f")
r; t=0.00 0:19:08
. }
r; t=0.00 0:19:08

. 
. 
. *Test if two mediators explains difference between NHPI and each racial/ethnic group
. lincom _b[exe_strength_advice_m1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_m4:0.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_m1]0.praceethnicgp_multi_sim - [exe_strength_advice_m4]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.230566   .0221657    11.52   0.000      1.18788    1.274786
------------------------------------------------------------------------------
r; t=0.04 0:19:08

. local strength_m14_race0=`r(p)'
r; t=0.00 0:19:08

. 
. lincom _b[exe_strength_advice_m1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_m4:1.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_m1]0.praceethnicgp_multi_sim - [exe_strength_advice_m4]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.008214   .0656656     0.13   0.900     .8873874    1.145492
------------------------------------------------------------------------------
r; t=0.04 0:19:08

. local strength_m14_race1=`r(p)'
r; t=0.00 0:19:08

. 
. lincom _b[exe_strength_advice_m1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_m4:3.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_m1]0.praceethnicgp_multi_sim - [exe_strength_advice_m4]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6675796   .0962026    -2.80   0.005     .5033142    .8854559
------------------------------------------------------------------------------
r; t=0.04 0:19:08

. local strength_m14_race3=`r(p)'
r; t=0.00 0:19:08

. 
. lincom _b[exe_strength_advice_m1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_m4:4.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_m1]0.praceethnicgp_multi_sim - [exe_strength_advice_m4]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.021029   .0242161     0.88   0.380     .9746527    1.069612
------------------------------------------------------------------------------
r; t=0.05 0:19:08

. local strength_m14_race4=`r(p)'
r; t=0.00 0:19:08

. 
. 
. *Store the number of observations in each model
. matrix `mname'_obs=e(_N)
r; t=0.00 0:19:08

. local strength_m1_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_m1")]
r; t=0.00 0:19:08

. local strength_m2_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_m2")]
r; t=0.00 0:19:08

. local strength_m3_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_m3")]
r; t=0.00 0:19:08

. local strength_m4_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_m4")]
r; t=0.00 0:19:08

. 
. 
. 
. /*
> matrix Output=(strength_m1_race0, strength_m2_race0, strength_m12_race0, strength_m3_race0, strength_m13_race0, streng
> th_m4_race0, strength_m14_race0 \ ///
> strength_m1_race1, strength_m2_race1, strength_m12_race1, strength_m3_race1, strength_m13_race1, strength_m4_race1, st
> rength_m14_race1 \ ///
> strength_m1_race3, strength_m2_race3, strength_m12_race3, strength_m3_race3, strength_m13_race3, strength_m4_race3, st
> rength_m14_race3 \ ///
> strength_m1_race4, strength_m2_race4, strength_m12_race4, strength_m3_race4, strength_m13_race4, strength_m4_race4, st
> rength_m14_race4)
> matrix list Output
> */
. putexcel set "model/brfss2015-2019-pathanalysis-tableoutput/strength_m", replace
Note: file will be replaced when the first putexcel command is issued
r; t=0.00 0:19:08

. putexcel A1=("") B1=("Estimates without mediators") C1=("Estimates with education mediator") D1=("Wald test with estim
> ates without mediators (p-value)")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.01 0:19:08

. putexcel E1=("Estimates with household income mediator") F1=("Wald test with estimates without mediators (p-value)") G
> 1=("Estimates with two mediators") H1=("Wald test with estimates without mediators (p-value)")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 0:19:08

. putexcel A2=("nHwhite (single) Odds ratio") A3=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 0:19:08

. putexcel A4=("nHwhite (multirace) Odds ratio") A5=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 0:19:08

. putexcel A6=("NHPI (multirace) Odds ratio") A7=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 0:19:08

. putexcel A8=("other racial/ethnic groups Odds ratio") A9=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 0:19:08

. putexcel A10=("No. of observations")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 0:19:08

. putexcel B2="`strength_m1_race0_est'" B3="`strength_m1_race0_se'" B4="`strength_m1_race1_est'" B5="`strength_m1_race1_
> se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 0:19:08

. putexcel B6="`strength_m1_race3_est'" B7="`strength_m1_race3_se'" B8="`strength_m1_race4_est'" B9="`strength_m1_race4_
> se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 0:19:08

. putexcel B10=`strength_m1_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 0:19:08

. putexcel C2="`strength_m2_race0_est'" C3="`strength_m2_race0_se'" C4="`strength_m2_race1_est'" C5="`strength_m2_race1_
> se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 0:19:08

. putexcel C6="`strength_m2_race3_est'" C7="`strength_m2_race3_se'" C8="`strength_m2_race4_est'" C9="`strength_m2_race4_
> se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 0:19:08

. putexcel C10=`strength_m2_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 0:19:08

. putexcel D2=`strength_m12_race0' D4=`strength_m12_race1' D6=`strength_m12_race3' D8=`strength_m12_race4', nformat(0.00
> 0)
file model/brfss2015-2019-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 0:19:08

. putexcel E2="`strength_m3_race0_est'" E3="`strength_m3_race0_se'" E4="`strength_m3_race1_est'" E5="`strength_m3_race1_
> se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 0:19:08

. putexcel E6="`strength_m3_race3_est'" E7="`strength_m3_race3_se'" E8="`strength_m3_race4_est'" E9="`strength_m3_race4_
> se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 0:19:08

. putexcel E10=`strength_m3_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.03 0:19:08

. putexcel F2=`strength_m13_race0' F4=`strength_m13_race1' F6=`strength_m13_race3' F8=`strength_m13_race4', nformat(0.00
> 0)
file model/brfss2015-2019-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 0:19:08

. putexcel G2="`strength_m4_race0_est'" G3="`strength_m4_race0_se'" G4="`strength_m4_race1_est'" G5="`strength_m4_race1_
> se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.03 0:19:08

. putexcel G6="`strength_m4_race3_est'" G7="`strength_m4_race3_se'" G8="`strength_m4_race4_est'" G9="`strength_m4_race4_
> se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 0:19:08

. putexcel G10=`strength_m4_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 0:19:08

. putexcel H2=`strength_m14_race0' H4=`strength_m14_race1' H6=`strength_m14_race3' H8=`strength_m14_race4', nformat(0.00
> 0)
file model/brfss2015-2019-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 0:19:09

. putexcel close
r; t=0.00 0:19:09

. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. *Meeting aerobic exercise recomwomendation among women without mediators
. lincom _b[exe_aerobic_advice_f1:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.599826   .1666591     4.51   0.000     1.304368    1.962209
------------------------------------------------------------------------------
r; t=0.04 0:19:09

. matrix aerobic_f1_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:09

. local aerobic_f1_race0_se="(" + string(aerobic_f1_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:19:09

. local aerobic_f1_race0_p=aerobic_f1_race0[3,1]
r; t=0.00 0:19:09

. if `aerobic_f1_race0_p'<0.001 {
.         local aerobic_f1_race0_est=string(aerobic_f1_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f1_race0_p'<0.01 {
.         local aerobic_f1_race0_est=string(aerobic_f1_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f1_race0_p'<0.05 {
.         local aerobic_f1_race0_est=string(aerobic_f1_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else {
.         local aerobic_f1_race0_est=string(aerobic_f1_race0[1,1], "%3.2f")
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. 
. 
. lincom _b[exe_aerobic_advice_f1:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.682613   .2018401     4.34   0.000     1.330078    2.128587
------------------------------------------------------------------------------
r; t=0.04 0:19:09

. matrix aerobic_f1_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:09

. local aerobic_f1_race1_se="(" + string(aerobic_f1_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:19:09

. local aerobic_f1_race1_p=aerobic_f1_race1[3,1]
r; t=0.00 0:19:09

. if `aerobic_f1_race1_p'<0.001 {
.         local aerobic_f1_race1_est=string(aerobic_f1_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f1_race1_p'<0.01 {
.         local aerobic_f1_race1_est=string(aerobic_f1_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f1_race1_p'<0.05 {
.         local aerobic_f1_race1_est=string(aerobic_f1_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else {
.         local aerobic_f1_race1_est=string(aerobic_f1_race1[1,1], "%3.2f")
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. 
. 
. lincom _b[exe_aerobic_advice_f1:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.467423   .2415964     2.33   0.020     1.062707     2.02627
------------------------------------------------------------------------------
r; t=0.04 0:19:09

. matrix aerobic_f1_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:09

. local aerobic_f1_race3_se="(" + string(aerobic_f1_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:19:09

. local aerobic_f1_race3_p=aerobic_f1_race3[3,1]
r; t=0.00 0:19:09

. if `aerobic_f1_race3_p'<0.001 {
.         local aerobic_f1_race3_est=string(aerobic_f1_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f1_race3_p'<0.01 {
.         local aerobic_f1_race3_est=string(aerobic_f1_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f1_race3_p'<0.05 {
.         local aerobic_f1_race3_est=string(aerobic_f1_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else {
.         local aerobic_f1_race3_est=string(aerobic_f1_race3[1,1], "%3.2f")
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. 
. 
. lincom _b[exe_aerobic_advice_f1:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.075566    .112577     0.70   0.486     .8760797    1.320476
------------------------------------------------------------------------------
r; t=0.04 0:19:09

. matrix aerobic_f1_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:09

. local aerobic_f1_race4_se="(" + string(aerobic_f1_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:19:09

. local aerobic_f1_race4_p=aerobic_f1_race4[3,1]
r; t=0.00 0:19:09

. if `aerobic_f1_race4_p'<0.001 {
.         local aerobic_f1_race4_est=string(aerobic_f1_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f1_race4_p'<0.01 {
.         local aerobic_f1_race4_est=string(aerobic_f1_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f1_race4_p'<0.05 {
.         local aerobic_f1_race4_est=string(aerobic_f1_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else {
.         local aerobic_f1_race4_est=string(aerobic_f1_race4[1,1], "%3.2f")
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. 
. 
. 
. *Meeting aerobic exercise recomwomendation among women with education mediator
. lincom _b[exe_aerobic_advice_f2:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.354863   .1362115     3.02   0.003      1.11255    1.649951
------------------------------------------------------------------------------
r; t=0.04 0:19:09

. matrix aerobic_f2_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:09

. local aerobic_f2_race0_se="(" + string(aerobic_f2_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:19:09

. local aerobic_f2_race0_p=aerobic_f2_race0[3,1]
r; t=0.00 0:19:09

. if `aerobic_f2_race0_p'<0.001 {
.         local aerobic_f2_race0_est=string(aerobic_f2_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f2_race0_p'<0.01 {
.         local aerobic_f2_race0_est=string(aerobic_f2_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f2_race0_p'<0.05 {
.         local aerobic_f2_race0_est=string(aerobic_f2_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else {
.         local aerobic_f2_race0_est=string(aerobic_f2_race0[1,1], "%3.2f")
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. 
. 
. lincom _b[exe_aerobic_advice_f2:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.483296   .1741537     3.36   0.001     1.178388      1.8671
------------------------------------------------------------------------------
r; t=0.04 0:19:09

. matrix aerobic_f2_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:09

. local aerobic_f2_race1_se="(" + string(aerobic_f2_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:19:09

. local aerobic_f2_race1_p=aerobic_f2_race1[3,1]
r; t=0.00 0:19:09

. if `aerobic_f2_race1_p'<0.001 {
.         local aerobic_f2_race1_est=string(aerobic_f2_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f2_race1_p'<0.01 {
.         local aerobic_f2_race1_est=string(aerobic_f2_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f2_race1_p'<0.05 {
.         local aerobic_f2_race1_est=string(aerobic_f2_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else {
.         local aerobic_f2_race1_est=string(aerobic_f2_race1[1,1], "%3.2f")
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. 
. 
. lincom _b[exe_aerobic_advice_f2:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.394808   .2336239     1.99   0.047     1.004482     1.93681
------------------------------------------------------------------------------
r; t=0.04 0:19:09

. matrix aerobic_f2_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:09

. local aerobic_f2_race3_se="(" + string(aerobic_f2_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:19:09

. local aerobic_f2_race3_p=aerobic_f2_race3[3,1]
r; t=0.00 0:19:09

. if `aerobic_f2_race3_p'<0.001 {
.         local aerobic_f2_race3_est=string(aerobic_f2_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f2_race3_p'<0.01 {
.         local aerobic_f2_race3_est=string(aerobic_f2_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f2_race3_p'<0.05 {
.         local aerobic_f2_race3_est=string(aerobic_f2_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else {
.         local aerobic_f2_race3_est=string(aerobic_f2_race3[1,1], "%3.2f")
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. 
. 
. lincom _b[exe_aerobic_advice_f2:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |     1.0391   .1049994     0.38   0.704     .8524021    1.266689
------------------------------------------------------------------------------
r; t=0.04 0:19:09

. matrix aerobic_f2_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:09

. local aerobic_f2_race4_se="(" + string(aerobic_f2_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:19:09

. local aerobic_f2_race4_p=aerobic_f2_race4[3,1]
r; t=0.00 0:19:09

. if `aerobic_f2_race4_p'<0.001 {
.         local aerobic_f2_race4_est=string(aerobic_f2_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f2_race4_p'<0.01 {
.         local aerobic_f2_race4_est=string(aerobic_f2_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f2_race4_p'<0.05 {
.         local aerobic_f2_race4_est=string(aerobic_f2_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else {
.         local aerobic_f2_race4_est=string(aerobic_f2_race4[1,1], "%3.2f")
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. 
. 
. *Test if education explains difference between NHPI and each racial/ethnic group
. lincom _b[exe_aerobic_advice_f1:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f2:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]0.praceethnicgp_multi_sim - [exe_aerobic_advice_f2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.180803   .0227696     8.62   0.000     1.137008    1.226284
------------------------------------------------------------------------------
r; t=0.04 0:19:09

. local aerobic_f12_race0=`r(p)'
r; t=0.00 0:19:09

. 
. lincom _b[exe_aerobic_advice_f1:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f2:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]1.praceethnicgp_multi_sim - [exe_aerobic_advice_f2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.134374    .024087     5.94   0.000     1.088133     1.18258
------------------------------------------------------------------------------
r; t=0.06 0:19:09

. local aerobic_f12_race1=`r(p)'
r; t=0.00 0:19:09

. 
. lincom _b[exe_aerobic_advice_f1:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f2:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]3.praceethnicgp_multi_sim - [exe_aerobic_advice_f2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.052061   .0299424     1.78   0.075     .9949815    1.112414
------------------------------------------------------------------------------
r; t=0.04 0:19:09

. local aerobic_f12_race3=`r(p)'
r; t=0.00 0:19:09

. 
. lincom _b[exe_aerobic_advice_f1:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f2:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]4.praceethnicgp_multi_sim - [exe_aerobic_advice_f2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.035094   .0198121     1.80   0.072     .9969825    1.074663
------------------------------------------------------------------------------
r; t=0.04 0:19:09

. local aerobic_f12_race4=`r(p)'
r; t=0.00 0:19:09

. 
. 
. *Meeting aerobic exercise recomwomendation among women with household income mediator
. lincom _b[exe_aerobic_advice_f3:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    1.30774    .143537     2.44   0.015     1.054614     1.62162
------------------------------------------------------------------------------
r; t=0.04 0:19:09

. matrix aerobic_f3_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:09

. local aerobic_f3_race0_se="(" + string(aerobic_f3_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:19:09

. local aerobic_f3_race0_p=aerobic_f3_race0[3,1]
r; t=0.00 0:19:09

. if `aerobic_f3_race0_p'<0.001 {
.         local aerobic_f3_race0_est=string(aerobic_f3_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f3_race0_p'<0.01 {
.         local aerobic_f3_race0_est=string(aerobic_f3_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f3_race0_p'<0.05 {
.         local aerobic_f3_race0_est=string(aerobic_f3_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else {
.         local aerobic_f3_race0_est=string(aerobic_f3_race0[1,1], "%3.2f")
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. 
. 
. lincom _b[exe_aerobic_advice_f3:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.521276   .1898605     3.36   0.001     1.191173    1.942858
------------------------------------------------------------------------------
r; t=0.04 0:19:09

. matrix aerobic_f3_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:09

. local aerobic_f3_race1_se="(" + string(aerobic_f3_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:19:09

. local aerobic_f3_race1_p=aerobic_f3_race1[3,1]
r; t=0.00 0:19:09

. if `aerobic_f3_race1_p'<0.001 {
.         local aerobic_f3_race1_est=string(aerobic_f3_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f3_race1_p'<0.01 {
.         local aerobic_f3_race1_est=string(aerobic_f3_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f3_race1_p'<0.05 {
.         local aerobic_f3_race1_est=string(aerobic_f3_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else {
.         local aerobic_f3_race1_est=string(aerobic_f3_race1[1,1], "%3.2f")
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. 
. 
. lincom _b[exe_aerobic_advice_f3:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.337934   .2279285     1.71   0.087     .9581314     1.86829
------------------------------------------------------------------------------
r; t=0.04 0:19:09

. matrix aerobic_f3_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:09

. local aerobic_f3_race3_se="(" + string(aerobic_f3_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:19:09

. local aerobic_f3_race3_p=aerobic_f3_race3[3,1]
r; t=0.00 0:19:09

. if `aerobic_f3_race3_p'<0.001 {
.         local aerobic_f3_race3_est=string(aerobic_f3_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f3_race3_p'<0.01 {
.         local aerobic_f3_race3_est=string(aerobic_f3_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f3_race3_p'<0.05 {
.         local aerobic_f3_race3_est=string(aerobic_f3_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else {
.         local aerobic_f3_race3_est=string(aerobic_f3_race3[1,1], "%3.2f")
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. 
. 
. lincom _b[exe_aerobic_advice_f3:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.081801    .119137     0.71   0.475     .8717778    1.342422
------------------------------------------------------------------------------
r; t=0.04 0:19:09

. matrix aerobic_f3_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:09

. local aerobic_f3_race4_se="(" + string(aerobic_f3_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:19:09

. local aerobic_f3_race4_p=aerobic_f3_race4[3,1]
r; t=0.00 0:19:09

. if `aerobic_f3_race4_p'<0.001 {
.         local aerobic_f3_race4_est=string(aerobic_f3_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f3_race4_p'<0.01 {
.         local aerobic_f3_race4_est=string(aerobic_f3_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f3_race4_p'<0.05 {
.         local aerobic_f3_race4_est=string(aerobic_f3_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else {
.         local aerobic_f3_race4_est=string(aerobic_f3_race4[1,1], "%3.2f")
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. 
. 
. *Test if household income explains difference between NHPI and each racial/ethnic group
. lincom _b[exe_aerobic_advice_f1:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f3:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]0.praceethnicgp_multi_sim - [exe_aerobic_advice_f3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.223352   .0295503     8.35   0.000     1.166784    1.282662
------------------------------------------------------------------------------
r; t=0.04 0:19:09

. local aerobic_f13_race0=`r(p)'
r; t=0.00 0:19:09

. 
. lincom _b[exe_aerobic_advice_f1:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f3:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]1.praceethnicgp_multi_sim - [exe_aerobic_advice_f3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.106054   .0294884     3.78   0.000     1.049742    1.165387
------------------------------------------------------------------------------
r; t=0.08 0:19:09

. local aerobic_f13_race1=`r(p)'
r; t=0.00 0:19:09

. 
. lincom _b[exe_aerobic_advice_f1:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f3:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]3.praceethnicgp_multi_sim - [exe_aerobic_advice_f3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.096783   .0356081     2.85   0.004     1.029166    1.168842
------------------------------------------------------------------------------
r; t=0.04 0:19:09

. local aerobic_f13_race3=`r(p)'
r; t=0.00 0:19:09

. 
. lincom _b[exe_aerobic_advice_f1:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f3:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]4.praceethnicgp_multi_sim - [exe_aerobic_advice_f3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9942364   .0238202    -0.24   0.809     .9486289    1.042037
------------------------------------------------------------------------------
r; t=0.05 0:19:09

. local aerobic_f13_race4=`r(p)'
r; t=0.00 0:19:09

. 
. 
. *Meeting aerobic exercise recomwomendation among women with two mediators
. lincom _b[exe_aerobic_advice_f4:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f4]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    1.24728   .1319073     2.09   0.037     1.013781    1.534559
------------------------------------------------------------------------------
r; t=0.04 0:19:09

. matrix aerobic_f4_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:09

. local aerobic_f4_race0_se="(" + string(aerobic_f4_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:19:09

. local aerobic_f4_race0_p=aerobic_f4_race0[3,1]
r; t=0.00 0:19:09

. if `aerobic_f4_race0_p'<0.001 {
.         local aerobic_f4_race0_est=string(aerobic_f4_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f4_race0_p'<0.01 {
.         local aerobic_f4_race0_est=string(aerobic_f4_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f4_race0_p'<0.05 {
.         local aerobic_f4_race0_est=string(aerobic_f4_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else {
.         local aerobic_f4_race0_est=string(aerobic_f4_race0[1,1], "%3.2f")
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. 
. 
. lincom _b[exe_aerobic_advice_f4:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f4]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.441675   .1752567     3.01   0.003     1.136034    1.829547
------------------------------------------------------------------------------
r; t=0.04 0:19:09

. matrix aerobic_f4_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:09

. local aerobic_f4_race1_se="(" + string(aerobic_f4_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:19:09

. local aerobic_f4_race1_p=aerobic_f4_race1[3,1]
r; t=0.00 0:19:09

. if `aerobic_f4_race1_p'<0.001 {
.         local aerobic_f4_race1_est=string(aerobic_f4_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f4_race1_p'<0.01 {
.         local aerobic_f4_race1_est=string(aerobic_f4_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f4_race1_p'<0.05 {
.         local aerobic_f4_race1_est=string(aerobic_f4_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else {
.         local aerobic_f4_race1_est=string(aerobic_f4_race1[1,1], "%3.2f")
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. 
. 
. lincom _b[exe_aerobic_advice_f4:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f4]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.332559   .2265788     1.69   0.091      .954892    1.859598
------------------------------------------------------------------------------
r; t=0.04 0:19:09

. matrix aerobic_f4_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:09

. local aerobic_f4_race3_se="(" + string(aerobic_f4_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:19:09

. local aerobic_f4_race3_p=aerobic_f4_race3[3,1]
r; t=0.00 0:19:09

. if `aerobic_f4_race3_p'<0.001 {
.         local aerobic_f4_race3_est=string(aerobic_f4_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f4_race3_p'<0.01 {
.         local aerobic_f4_race3_est=string(aerobic_f4_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else if `aerobic_f4_race3_p'<0.05 {
.         local aerobic_f4_race3_est=string(aerobic_f4_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. else {
.         local aerobic_f4_race3_est=string(aerobic_f4_race3[1,1], "%3.2f")
r; t=0.00 0:19:09
. }
r; t=0.00 0:19:09

. 
. 
. lincom _b[exe_aerobic_advice_f4:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f4]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.054634   .1119795     0.50   0.616     .8564897    1.298617
------------------------------------------------------------------------------
r; t=0.04 0:19:10

. matrix aerobic_f4_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:10

. local aerobic_f4_race4_se="(" + string(aerobic_f4_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:19:10

. local aerobic_f4_race4_p=aerobic_f4_race4[3,1]
r; t=0.00 0:19:10

. if `aerobic_f4_race4_p'<0.001 {
.         local aerobic_f4_race4_est=string(aerobic_f4_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else if `aerobic_f4_race4_p'<0.01 {
.         local aerobic_f4_race4_est=string(aerobic_f4_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else if `aerobic_f4_race4_p'<0.05 {
.         local aerobic_f4_race4_est=string(aerobic_f4_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else {
.         local aerobic_f4_race4_est=string(aerobic_f4_race4[1,1], "%3.2f")
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. 
. 
. 
. *Test if two mediators explains difference between NHPI and each racial/ethnic group
. lincom _b[exe_aerobic_advice_f1:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f4:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]0.praceethnicgp_multi_sim - [exe_aerobic_advice_f4]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.282652   .0312422    10.22   0.000     1.222857     1.34537
------------------------------------------------------------------------------
r; t=0.05 0:19:10

. local aerobic_f14_race0=`r(p)'
r; t=0.00 0:19:10

. 
. lincom _b[exe_aerobic_advice_f1:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f4:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]1.praceethnicgp_multi_sim - [exe_aerobic_advice_f4]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.167123   .0312931     5.76   0.000     1.107373    1.230097
------------------------------------------------------------------------------
r; t=0.05 0:19:10

. local aerobic_f14_race1=`r(p)'
r; t=0.00 0:19:10

. 
. lincom _b[exe_aerobic_advice_f1:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f4:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]3.praceethnicgp_multi_sim - [exe_aerobic_advice_f4]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.101207   .0382042     2.78   0.005     1.028817     1.17869
------------------------------------------------------------------------------
r; t=0.05 0:19:10

. local aerobic_f14_race3=`r(p)'
r; t=0.00 0:19:10

. 
. lincom _b[exe_aerobic_advice_f1:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f4:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]4.praceethnicgp_multi_sim - [exe_aerobic_advice_f4]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.019848   .0246547     0.81   0.416     .9726526    1.069333
------------------------------------------------------------------------------
r; t=0.06 0:19:10

. local aerobic_f14_race4=`r(p)'
r; t=0.00 0:19:10

. 
. 
. *Store the number of observations in each model
. matrix `mname'_obs=e(_N)
r; t=0.00 0:19:10

. local aerobic_f1_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_f1")]
r; t=0.00 0:19:10

. local aerobic_f2_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_f2")]
r; t=0.00 0:19:10

. local aerobic_f3_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_f3")]
r; t=0.00 0:19:10

. local aerobic_f4_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_f4")]
r; t=0.00 0:19:10

. 
. 
. /*
> matrix Output=(aerobic_f1_race0, aerobic_f2_race0, aerobic_f12_race0, aerobic_f3_race0, aerobic_f13_race0, aerobic_f4_
> race0, aerobic_f14_race0 \ ///
> aerobic_f1_race1, aerobic_f2_race1, aerobic_f12_race1, aerobic_f3_race1, aerobic_f13_race1, aerobic_f4_race1, aerobic_
> f14_race1 \ ///
> aerobic_f1_race3, aerobic_f2_race3, aerobic_f12_race3, aerobic_f3_race3, aerobic_f13_race3, aerobic_f4_race3, aerobic_
> f14_race3 \ ///
> aerobic_f1_race4, aerobic_f2_race4, aerobic_f12_race4, aerobic_f3_race4, aerobic_f13_race4, aerobic_f4_race4, aerobic_
> f14_race4)
> matrix list Output
> */
. putexcel set "model/brfss2015-2019-pathanalysis-tableoutput/aerobic_f", replace
Note: file will be replaced when the first putexcel command is issued
r; t=0.00 0:19:10

. putexcel A1=("") B1=("Estimates without mediators") C1=("Estimates with education mediator") D1=("Wald test with estim
> ates without mediators (p-value)")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.01 0:19:10

. putexcel E1=("Estimates with household income mediator") F1=("Wald test with estimates without mediators (p-value)") G
> 1=("Estimates with two mediators") H1=("Wald test with estimates without mediators (p-value)")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 0:19:10

. putexcel A2=("nHwhite (single) Odds ratio") A3=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 0:19:10

. putexcel A4=("nHwhite (multirace) Odds ratio") A5=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 0:19:10

. putexcel A6=("NHPI (multirace) Odds ratio") A7=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 0:19:10

. putexcel A8=("other racial/ethnic groups Odds ratio") A9=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.03 0:19:10

. putexcel A10=("No. of observations")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 0:19:10

. putexcel B2="`aerobic_f1_race0_est'" B3="`aerobic_f1_race0_se'" B4="`aerobic_f1_race1_est'" B5="`aerobic_f1_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.03 0:19:10

. putexcel B6="`aerobic_f1_race3_est'" B7="`aerobic_f1_race3_se'" B8="`aerobic_f1_race4_est'" B9="`aerobic_f1_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.03 0:19:10

. putexcel B10=`aerobic_f1_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 0:19:10

. putexcel C2="`aerobic_f2_race0_est'" C3="`aerobic_f2_race0_se'" C4="`aerobic_f2_race1_est'" C5="`aerobic_f2_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 0:19:10

. putexcel C6="`aerobic_f2_race3_est'" C7="`aerobic_f2_race3_se'" C8="`aerobic_f2_race4_est'" C9="`aerobic_f2_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 0:19:10

. putexcel C10=`aerobic_f2_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 0:19:10

. putexcel D2=`aerobic_f12_race0' D4=`aerobic_f12_race1' D6=`aerobic_f12_race3' D8=`aerobic_f12_race4', nformat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 0:19:10

. putexcel E2="`aerobic_f3_race0_est'" E3="`aerobic_f3_race0_se'" E4="`aerobic_f3_race1_est'" E5="`aerobic_f3_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 0:19:10

. putexcel E6="`aerobic_f3_race3_est'" E7="`aerobic_f3_race3_se'" E8="`aerobic_f3_race4_est'" E9="`aerobic_f3_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 0:19:10

. putexcel E10=`aerobic_f3_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.01 0:19:10

. putexcel F2=`aerobic_f13_race0' F4=`aerobic_f13_race1' F6=`aerobic_f13_race3' F8=`aerobic_f13_race4', nformat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 0:19:10

. putexcel G2="`aerobic_f4_race0_est'" G3="`aerobic_f4_race0_se'" G4="`aerobic_f4_race1_est'" G5="`aerobic_f4_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 0:19:10

. putexcel G6="`aerobic_f4_race3_est'" G7="`aerobic_f4_race3_se'" G8="`aerobic_f4_race4_est'" G9="`aerobic_f4_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.01 0:19:10

. putexcel G10=`aerobic_f4_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 0:19:10

. putexcel H2=`aerobic_f14_race0' H4=`aerobic_f14_race1' H6=`aerobic_f14_race3' H8=`aerobic_f14_race4', nformat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 0:19:10

. putexcel close
r; t=0.01 0:19:10

. 
. 
. 
. 
. 
. 
. *Meeting muscle strengthening recomwomendation among women without mediators
. lincom _b[exe_strength_advice_f1:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f1]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    1.11923   .1258086     1.00   0.316     .8979222    1.395083
------------------------------------------------------------------------------
r; t=0.04 0:19:10

. matrix strength_f1_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:10

. local strength_f1_race0_se="(" + string(strength_f1_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:19:10

. local strength_f1_race0_p=strength_f1_race0[3,1]
r; t=0.00 0:19:10

. if `strength_f1_race0_p'<0.001 {
.         local strength_f1_race0_est=string(strength_f1_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else if `strength_f1_race0_p'<0.01 {
.         local strength_f1_race0_est=string(strength_f1_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else if `strength_f1_race0_p'<0.05 {
.         local strength_f1_race0_est=string(strength_f1_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else {
.         local strength_f1_race0_est=string(strength_f1_race0[1,1], "%3.2f")
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. 
. 
. lincom _b[exe_strength_advice_f1:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f1]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.227186   .1609337     1.56   0.118     .9490378    1.586856
------------------------------------------------------------------------------
r; t=0.04 0:19:10

. matrix strength_f1_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:10

. local strength_f1_race1_se="(" + string(strength_f1_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:19:10

. local strength_f1_race1_p=strength_f1_race1[3,1]
r; t=0.00 0:19:10

. if `strength_f1_race1_p'<0.001 {
.         local strength_f1_race1_est=string(strength_f1_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else if `strength_f1_race1_p'<0.01 {
.         local strength_f1_race1_est=string(strength_f1_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else if `strength_f1_race1_p'<0.05 {
.         local strength_f1_race1_est=string(strength_f1_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else {
.         local strength_f1_race1_est=string(strength_f1_race1[1,1], "%3.2f")
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. 
. 
. lincom _b[exe_strength_advice_f1:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f1]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.352847   .2828991     1.45   0.148     .8979465    2.038201
------------------------------------------------------------------------------
r; t=0.03 0:19:10

. matrix strength_f1_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:10

. local strength_f1_race3_se="(" + string(strength_f1_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:19:10

. local strength_f1_race3_p=strength_f1_race3[3,1]
r; t=0.00 0:19:10

. if `strength_f1_race3_p'<0.001 {
.         local strength_f1_race3_est=string(strength_f1_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else if `strength_f1_race3_p'<0.01 {
.         local strength_f1_race3_est=string(strength_f1_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else if `strength_f1_race3_p'<0.05 {
.         local strength_f1_race3_est=string(strength_f1_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else {
.         local strength_f1_race3_est=string(strength_f1_race3[1,1], "%3.2f")
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. 
. 
. lincom _b[exe_strength_advice_f1:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f1]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9055114   .1024479    -0.88   0.380     .7254214     1.13031
------------------------------------------------------------------------------
r; t=0.04 0:19:10

. matrix strength_f1_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:10

. local strength_f1_race4_se="(" + string(strength_f1_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:19:10

. local strength_f1_race4_p=strength_f1_race4[3,1]
r; t=0.00 0:19:10

. if `strength_f1_race4_p'<0.001 {
.         local strength_f1_race4_est=string(strength_f1_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else if `strength_f1_race4_p'<0.01 {
.         local strength_f1_race4_est=string(strength_f1_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else if `strength_f1_race4_p'<0.05 {
.         local strength_f1_race4_est=string(strength_f1_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else {
.         local strength_f1_race4_est=string(strength_f1_race4[1,1], "%3.2f")
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. 
. 
. 
. *Meeting muscle strengthening recomwomendation among women with education mediator
. lincom _b[exe_strength_advice_f2:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9620148    .107192    -0.35   0.728     .7732803    1.196814
------------------------------------------------------------------------------
r; t=0.03 0:19:10

. matrix strength_f2_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:10

. local strength_f2_race0_se="(" + string(strength_f2_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:19:10

. local strength_f2_race0_p=strength_f2_race0[3,1]
r; t=0.00 0:19:10

. if `strength_f2_race0_p'<0.001 {
.         local strength_f2_race0_est=string(strength_f2_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else if `strength_f2_race0_p'<0.01 {
.         local strength_f2_race0_est=string(strength_f2_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else if `strength_f2_race0_p'<0.05 {
.         local strength_f2_race0_est=string(strength_f2_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else {
.         local strength_f2_race0_est=string(strength_f2_race0[1,1], "%3.2f")
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. 
. 
. lincom _b[exe_strength_advice_f2:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.095623   .1433168     0.70   0.485     .8478454    1.415812
------------------------------------------------------------------------------
r; t=0.04 0:19:10

. matrix strength_f2_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:10

. local strength_f2_race1_se="(" + string(strength_f2_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:19:10

. local strength_f2_race1_p=strength_f2_race1[3,1]
r; t=0.00 0:19:10

. if `strength_f2_race1_p'<0.001 {
.         local strength_f2_race1_est=string(strength_f2_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else if `strength_f2_race1_p'<0.01 {
.         local strength_f2_race1_est=string(strength_f2_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else if `strength_f2_race1_p'<0.05 {
.         local strength_f2_race1_est=string(strength_f2_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else {
.         local strength_f2_race1_est=string(strength_f2_race1[1,1], "%3.2f")
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. 
. 
. lincom _b[exe_strength_advice_f2:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.313431   .2721681     1.32   0.188     .8750275    1.971482
------------------------------------------------------------------------------
r; t=0.04 0:19:10

. matrix strength_f2_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:10

. local strength_f2_race3_se="(" + string(strength_f2_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:19:10

. local strength_f2_race3_p=strength_f2_race3[3,1]
r; t=0.00 0:19:10

. if `strength_f2_race3_p'<0.001 {
.         local strength_f2_race3_est=string(strength_f2_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else if `strength_f2_race3_p'<0.01 {
.         local strength_f2_race3_est=string(strength_f2_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else if `strength_f2_race3_p'<0.05 {
.         local strength_f2_race3_est=string(strength_f2_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else {
.         local strength_f2_race3_est=string(strength_f2_race3[1,1], "%3.2f")
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. 
. 
. lincom _b[exe_strength_advice_f2:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8728468   .0978543    -1.21   0.225     .7006646    1.087341
------------------------------------------------------------------------------
r; t=0.03 0:19:10

. matrix strength_f2_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:10

. local strength_f2_race4_se="(" + string(strength_f2_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:19:10

. local strength_f2_race4_p=strength_f2_race4[3,1]
r; t=0.00 0:19:10

. if `strength_f2_race4_p'<0.001 {
.         local strength_f2_race4_est=string(strength_f2_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else if `strength_f2_race4_p'<0.01 {
.         local strength_f2_race4_est=string(strength_f2_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else if `strength_f2_race4_p'<0.05 {
.         local strength_f2_race4_est=string(strength_f2_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. else {
.         local strength_f2_race4_est=string(strength_f2_race4[1,1], "%3.2f")
r; t=0.00 0:19:10
. }
r; t=0.00 0:19:10

. 
. 
. *Test if education explains difference between NHPI and each racial/ethnic group
. lincom _b[exe_strength_advice_f1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f2:0.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_f1]0.praceethnicgp_multi_sim - [exe_strength_advice_f2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.163423   .0207633     8.48   0.000     1.123431    1.204838
------------------------------------------------------------------------------
r; t=0.03 0:19:11

. local strength_f12_race0=`r(p)'
r; t=0.00 0:19:11

. 
. lincom _b[exe_strength_advice_f1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f2:1.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_f1]0.praceethnicgp_multi_sim - [exe_strength_advice_f2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.021547   .0731632     0.30   0.766     .8877588    1.175496
------------------------------------------------------------------------------
r; t=0.05 0:19:11

. local strength_f12_race1=`r(p)'
r; t=0.00 0:19:11

. 
. lincom _b[exe_strength_advice_f1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f2:3.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_f1]0.praceethnicgp_multi_sim - [exe_strength_advice_f2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8521423   .1499677    -0.91   0.363     .6035452    1.203135
------------------------------------------------------------------------------
r; t=0.04 0:19:11

. local strength_f12_race3=`r(p)'
r; t=0.00 0:19:11

. 
. lincom _b[exe_strength_advice_f1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f2:4.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_f1]0.praceethnicgp_multi_sim - [exe_strength_advice_f2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.282275   .0313539    10.17   0.000     1.222272    1.345224
------------------------------------------------------------------------------
r; t=0.03 0:19:11

. local strength_f12_race4=`r(p)'
r; t=0.00 0:19:11

. 
. 
. *Meeting muscle strengthening recomwomendation among women with hosuehold income mediator
. lincom _b[exe_strength_advice_f3:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    .978965   .1113322    -0.19   0.852     .7833659    1.223403
------------------------------------------------------------------------------
r; t=0.04 0:19:11

. matrix strength_f3_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:11

. local strength_f3_race0_se="(" + string(strength_f3_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:19:11

. local strength_f3_race0_p=strength_f3_race0[3,1]
r; t=0.00 0:19:11

. if `strength_f3_race0_p'<0.001 {
.         local strength_f3_race0_est=string(strength_f3_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. else if `strength_f3_race0_p'<0.01 {
.         local strength_f3_race0_est=string(strength_f3_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. else if `strength_f3_race0_p'<0.05 {
.         local strength_f3_race0_est=string(strength_f3_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. else {
.         local strength_f3_race0_est=string(strength_f3_race0[1,1], "%3.2f")
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. 
. 
. lincom _b[exe_strength_advice_f3:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.149779   .1529614     1.05   0.294     .8858782    1.492294
------------------------------------------------------------------------------
r; t=0.04 0:19:11

. matrix strength_f3_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:11

. local strength_f3_race1_se="(" + string(strength_f3_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:19:11

. local strength_f3_race1_p=strength_f3_race1[3,1]
r; t=0.00 0:19:11

. if `strength_f3_race1_p'<0.001 {
.         local strength_f3_race1_est=string(strength_f3_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. else if `strength_f3_race1_p'<0.01 {
.         local strength_f3_race1_est=string(strength_f3_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. else if `strength_f3_race1_p'<0.05 {
.         local strength_f3_race1_est=string(strength_f3_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. else {
.         local strength_f3_race1_est=string(strength_f3_race1[1,1], "%3.2f")
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. 
. 
. lincom _b[exe_strength_advice_f3:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.284626   .2665486     1.21   0.227     .8553813    1.929273
------------------------------------------------------------------------------
r; t=0.04 0:19:11

. matrix strength_f3_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:11

. local strength_f3_race3_se="(" + string(strength_f3_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:19:11

. local strength_f3_race3_p=strength_f3_race3[3,1]
r; t=0.00 0:19:11

. if `strength_f3_race3_p'<0.001 {
.         local strength_f3_race3_est=string(strength_f3_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. else if `strength_f3_race3_p'<0.01 {
.         local strength_f3_race3_est=string(strength_f3_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. else if `strength_f3_race3_p'<0.05 {
.         local strength_f3_race3_est=string(strength_f3_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. else {
.         local strength_f3_race3_est=string(strength_f3_race3[1,1], "%3.2f")
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. 
. 
. lincom _b[exe_strength_advice_f3:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9207833   .1053019    -0.72   0.471     .7358899    1.152131
------------------------------------------------------------------------------
r; t=0.04 0:19:11

. matrix strength_f3_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:11

. local strength_f3_race4_se="(" + string(strength_f3_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:19:11

. local strength_f3_race4_p=strength_f3_race4[3,1]
r; t=0.00 0:19:11

. if `strength_f3_race4_p'<0.001 {
.         local strength_f3_race4_est=string(strength_f3_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. else if `strength_f3_race4_p'<0.01 {
.         local strength_f3_race4_est=string(strength_f3_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. else if `strength_f3_race4_p'<0.05 {
.         local strength_f3_race4_est=string(strength_f3_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. else {
.         local strength_f3_race4_est=string(strength_f3_race4[1,1], "%3.2f")
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. 
. 
. *Test if education explains difference between NHPI and each racial/ethnic group
. lincom _b[exe_strength_advice_f1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f3:0.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_f1]0.praceethnicgp_multi_sim - [exe_strength_advice_f3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.143279   .0178308     8.59   0.000      1.10886    1.178766
------------------------------------------------------------------------------
r; t=0.04 0:19:11

. local strength_f13_race0=`r(p)'
r; t=0.00 0:19:11

. 
. lincom _b[exe_strength_advice_f1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f3:1.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_f1]0.praceethnicgp_multi_sim - [exe_strength_advice_f3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9734308   .0696817    -0.38   0.707     .8460051     1.12005
------------------------------------------------------------------------------
r; t=0.04 0:19:11

. local strength_f13_race1=`r(p)'
r; t=0.00 0:19:11

. 
. lincom _b[exe_strength_advice_f1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f3:3.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_f1]0.praceethnicgp_multi_sim - [exe_strength_advice_f3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8712495   .1521296    -0.79   0.430     .6187474    1.226794
------------------------------------------------------------------------------
r; t=0.04 0:19:11

. local strength_f13_race3=`r(p)'
r; t=0.00 0:19:11

. 
. lincom _b[exe_strength_advice_f1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f3:4.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_f1]0.praceethnicgp_multi_sim - [exe_strength_advice_f3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.215519    .027687     8.57   0.000     1.162447    1.271015
------------------------------------------------------------------------------
r; t=0.03 0:19:11

. local strength_f13_race4=`r(p)'
r; t=0.00 0:19:11

. 
. 
. *Meeting muscle strengthening recomwomendation among women with two mediators
. lincom _b[exe_strength_advice_f4:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f4]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9253116   .1037986    -0.69   0.489     .7426817    1.152851
------------------------------------------------------------------------------
r; t=0.03 0:19:11

. matrix strength_f4_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:11

. local strength_f4_race0_se="(" + string(strength_f4_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:19:11

. local strength_f4_race0_p=strength_f4_race0[3,1]
r; t=0.00 0:19:11

. if `strength_f4_race0_p'<0.001 {
.         local strength_f4_race0_est=string(strength_f4_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. else if `strength_f4_race0_p'<0.01 {
.         local strength_f4_race0_est=string(strength_f4_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. else if `strength_f4_race0_p'<0.05 {
.         local strength_f4_race0_est=string(strength_f4_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. else {
.         local strength_f4_race0_est=string(strength_f4_race0[1,1], "%3.2f")
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. 
. 
. lincom _b[exe_strength_advice_f4:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f4]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |      1.084   .1427245     0.61   0.540     .8374446    1.403145
------------------------------------------------------------------------------
r; t=0.04 0:19:11

. matrix strength_f4_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:11

. local strength_f4_race1_se="(" + string(strength_f4_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:19:11

. local strength_f4_race1_p=strength_f4_race1[3,1]
r; t=0.00 0:19:11

. if `strength_f4_race1_p'<0.001 {
.         local strength_f4_race1_est=string(strength_f4_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. else if `strength_f4_race1_p'<0.01 {
.         local strength_f4_race1_est=string(strength_f4_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. else if `strength_f4_race1_p'<0.05 {
.         local strength_f4_race1_est=string(strength_f4_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. else {
.         local strength_f4_race1_est=string(strength_f4_race1[1,1], "%3.2f")
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. 
. 
. lincom _b[exe_strength_advice_f4:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f4]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.288015   .2664993     1.22   0.221     .8586201    1.932149
------------------------------------------------------------------------------
r; t=0.03 0:19:11

. matrix strength_f4_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:11

. local strength_f4_race3_se="(" + string(strength_f4_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:19:11

. local strength_f4_race3_p=strength_f4_race3[3,1]
r; t=0.00 0:19:11

. if `strength_f4_race3_p'<0.001 {
.         local strength_f4_race3_est=string(strength_f4_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. else if `strength_f4_race3_p'<0.01 {
.         local strength_f4_race3_est=string(strength_f4_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. else if `strength_f4_race3_p'<0.05 {
.         local strength_f4_race3_est=string(strength_f4_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. else {
.         local strength_f4_race3_est=string(strength_f4_race3[1,1], "%3.2f")
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. 
. 
. lincom _b[exe_strength_advice_f4:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f4]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8862104   .0999813    -1.07   0.284     .7104035    1.105525
------------------------------------------------------------------------------
r; t=0.04 0:19:11

. matrix strength_f4_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:19:11

. local strength_f4_race4_se="(" + string(strength_f4_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:19:11

. local strength_f4_race4_p=strength_f4_race4[3,1]
r; t=0.00 0:19:11

. if `strength_f4_race4_p'<0.001 {
.         local strength_f4_race4_est=string(strength_f4_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. else if `strength_f4_race4_p'<0.01 {
.         local strength_f4_race4_est=string(strength_f4_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. else if `strength_f4_race4_p'<0.05 {
.         local strength_f4_race4_est=string(strength_f4_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. else {
.         local strength_f4_race4_est=string(strength_f4_race4[1,1], "%3.2f")
r; t=0.00 0:19:11
. }
r; t=0.00 0:19:11

. 
. 
. *Test if two mediators explains difference between NHPI and each racial/ethnic group
. lincom _b[exe_strength_advice_f1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f4:0.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_f1]0.praceethnicgp_multi_sim - [exe_strength_advice_f4]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.209571   .0228273    10.08   0.000     1.165648    1.255149
------------------------------------------------------------------------------
r; t=0.03 0:19:11

. local strength_f14_race0=`r(p)'
r; t=0.00 0:19:11

. 
. lincom _b[exe_strength_advice_f1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f4:1.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_f1]0.praceethnicgp_multi_sim - [exe_strength_advice_f4]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |     1.0325   .0746476     0.44   0.658      .896086     1.18968
------------------------------------------------------------------------------
r; t=0.04 0:19:11

. local strength_f14_race1=`r(p)'
r; t=0.00 0:19:11

. 
. lincom _b[exe_strength_advice_f1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f4:3.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_f1]0.praceethnicgp_multi_sim - [exe_strength_advice_f4]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8689574   .1522735    -0.80   0.423     .6163626    1.225069
------------------------------------------------------------------------------
r; t=0.04 0:19:11

. local strength_f14_race3=`r(p)'
r; t=0.00 0:19:11

. 
. lincom _b[exe_strength_advice_f1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f4:4.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_f1]0.praceethnicgp_multi_sim - [exe_strength_advice_f4]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.262939   .0317183     9.30   0.000     1.202278    1.326661
------------------------------------------------------------------------------
r; t=0.04 0:19:11

. local strength_f14_race4=`r(p)'
r; t=0.00 0:19:11

. 
. 
. *Store the number of observations in each model
. matrix `mname'_obs=e(_N)
r; t=0.00 0:19:11

. local strength_f1_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_f1")]
r; t=0.00 0:19:11

. local strength_f2_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_f2")]
r; t=0.00 0:19:11

. local strength_f3_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_f3")]
r; t=0.00 0:19:11

. local strength_f4_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_f4")]
r; t=0.00 0:19:11

. 
. 
. 
. /*
> matrix Output=(strength_f1_race0, strength_f2_race0, strength_f12_race0, strength_f3_race0, strength_f13_race0, streng
> th_f4_race0, strength_f14_race0 \ ///
> strength_f1_race1, strength_f2_race1, strength_f12_race1, strength_f3_race1, strength_f13_race1, strength_f4_race1, st
> rength_f14_race1 \ ///
> strength_f1_race3, strength_f2_race3, strength_f12_race3, strength_f3_race3, strength_f13_race3, strength_f4_race3, st
> rength_f14_race3 \ ///
> strength_f1_race4, strength_f2_race4, strength_f12_race4, strength_f3_race4, strength_f13_race4, strength_f4_race4, st
> rength_f14_race4)
> matrix list Output
> */
. putexcel set "model/brfss2015-2019-pathanalysis-tableoutput/strength_f", replace
Note: file will be replaced when the first putexcel command is issued
r; t=0.00 0:19:11

. putexcel A1=("") B1=("Estimates without mediators") C1=("Estimates with education mediator") D1=("Wald test with estim
> ates without mediators (p-value)")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.01 0:19:11

. putexcel E1=("Estimates with household income mediator") F1=("Wald test with estimates without mediators (p-value)") G
> 1=("Estimates with two mediators") H1=("Wald test with estimates without mediators (p-value)")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.01 0:19:11

. putexcel A2=("nHwhite (single) Odds ratio") A3=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.01 0:19:11

. putexcel A4=("nHwhite (multirace) Odds ratio") A5=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.01 0:19:11

. putexcel A6=("NHPI (multirace) Odds ratio") A7=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.01 0:19:11

. putexcel A8=("other racial/ethnic groups Odds ratio") A9=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.01 0:19:11

. putexcel A10=("No. of observations")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.01 0:19:11

. putexcel B2="`strength_f1_race0_est'" B3="`strength_f1_race0_se'" B4="`strength_f1_race1_est'" B5="`strength_f1_race1_
> se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.01 0:19:11

. putexcel B6="`strength_f1_race3_est'" B7="`strength_f1_race3_se'" B8="`strength_f1_race4_est'" B9="`strength_f1_race4_
> se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 0:19:11

. putexcel B10=`strength_f1_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 0:19:11

. putexcel C2="`strength_f2_race0_est'" C3="`strength_f2_race0_se'" C4="`strength_f2_race1_est'" C5="`strength_f2_race1_
> se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 0:19:11

. putexcel C6="`strength_f2_race3_est'" C7="`strength_f2_race3_se'" C8="`strength_f2_race4_est'" C9="`strength_f2_race4_
> se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 0:19:11

. putexcel C10=`strength_f2_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 0:19:11

. putexcel D2=`strength_f12_race0' D4=`strength_f12_race1' D6=`strength_f12_race3' D8=`strength_f12_race4', nformat(0.00
> 0)
file model/brfss2015-2019-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 0:19:11

. putexcel E2="`strength_f3_race0_est'" E3="`strength_f3_race0_se'" E4="`strength_f3_race1_est'" E5="`strength_f3_race1_
> se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 0:19:11

. putexcel E6="`strength_f3_race3_est'" E7="`strength_f3_race3_se'" E8="`strength_f3_race4_est'" E9="`strength_f3_race4_
> se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 0:19:11

. putexcel E10=`strength_f3_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 0:19:11

. putexcel F2=`strength_f13_race0' F4=`strength_f13_race1' F6=`strength_f13_race3' F8=`strength_f13_race4', nformat(0.00
> 0)
file model/brfss2015-2019-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 0:19:11

. putexcel G2="`strength_f4_race0_est'" G3="`strength_f4_race0_se'" G4="`strength_f4_race1_est'" G5="`strength_f4_race1_
> se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 0:19:12

. putexcel G6="`strength_f4_race3_est'" G7="`strength_f4_race3_se'" G8="`strength_f4_race4_est'" G9="`strength_f4_race4_
> se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 0:19:12

. putexcel G10=`strength_f4_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.03 0:19:12

. putexcel H2=`strength_f14_race0' H4=`strength_f14_race1' H6=`strength_f14_race3' H8=`strength_f14_race4', nformat(0.00
> 0)
file model/brfss2015-2019-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 0:19:12

. putexcel close
r; t=0.00 0:19:12

. **************************************Whether there are any differences in exercises between NHPI and other racial/eth
> nic groups End****************************************************
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. **************************************Whether differences in exercises between NHPI and other racial/ethnic groups var
> y between census regions Start****************************************************
. local mname "exe_med_cr_simb2"
r; t=0.00 0:19:12

. eststo `mname': svy: gsem (exe_aerobic_advice_m_cr0 exe_strength_advice_m_cr0 <- c.yearsold i.year ib2.praceethnicgp_m
> ulti_sim, ologit) ///
> (exe_aerobic_advice_m_cr1 exe_strength_advice_m_cr1 <- c.yearsold i.year ib2.praceethnicgp_multi_sim, ologit) ///
> (exe_aerobic_advice_m_cr2 exe_strength_advice_m_cr2 <- c.yearsold i.year ib2.praceethnicgp_multi_sim, ologit) ///
> (exe_aerobic_advice_m_cr3 exe_strength_advice_m_cr3 <- c.yearsold i.year ib2.praceethnicgp_multi_sim, ologit) ///
> (exe_aerobic_advice_f_cr0 exe_strength_advice_f_cr0 <- c.yearsold i.year ib2.praceethnicgp_multi_sim, ologit) ///
> (exe_aerobic_advice_f_cr1 exe_strength_advice_f_cr1 <- c.yearsold i.year ib2.praceethnicgp_multi_sim, ologit) ///
> (exe_aerobic_advice_f_cr2 exe_strength_advice_f_cr2 <- c.yearsold i.year ib2.praceethnicgp_multi_sim, ologit) ///
> (exe_aerobic_advice_f_cr3 exe_strength_advice_f_cr3 <- c.yearsold i.year ib2.praceethnicgp_multi_sim, ologit) ///
> if yearsold>=25 & !mi(yearsold, educ, hhincome, praceethnicgp_multi_sim)
(running gsem on estimation sample)

Survey: Generalized structural equation model

Number of strata   =     1,727                Number of obs     =      930,680
Number of PSUs     =   930,680                Population size   =  493,491,707
                                              Design df         =      928,953

Response       : exe_aerobic_ad~m_cr0         Number of obs     =      303,148
Family         : ordinal
Link           : logit

Response       : exe_strength_a~m_cr0         Number of obs     =      309,237
Family         : ordinal
Link           : logit

Response       : exe_aerobic_ad~m_cr1         Number of obs     =       90,472
Family         : ordinal
Link           : logit

Response       : exe_strength_a~m_cr1         Number of obs     =       91,889
Family         : ordinal
Link           : logit

Response       : exe_aerobic_ad~m_cr2         Number of obs     =        8,312
Family         : ordinal
Link           : logit

Response       : exe_strength_a~m_cr2         Number of obs     =        8,425
Family         : ordinal
Link           : logit

Response       : exe_aerobic_ad~m_cr3         Number of obs     =        1,910
Family         : ordinal
Link           : logit

Response       : exe_strength_a~m_cr3         Number of obs     =        1,941
Family         : ordinal
Link           : logit

Response       : exe_aerobic_ad~f_cr0         Number of obs     =      381,546
Family         : ordinal
Link           : logit

Response       : exe_strength_a~f_cr0         Number of obs     =      389,191
Family         : ordinal
Link           : logit

Response       : exe_aerobic_ad~f_cr1         Number of obs     =      103,881
Family         : ordinal
Link           : logit

Response       : exe_strength_a~f_cr1         Number of obs     =      105,525
Family         : ordinal
Link           : logit

Response       : exe_aerobic_ad~f_cr2         Number of obs     =        9,208
Family         : ordinal
Link           : logit

Response       : exe_strength_a~f_cr2         Number of obs     =        9,312
Family         : ordinal
Link           : logit

Response       : exe_aerobic_ad~f_cr3         Number of obs     =        2,177
Family         : ordinal
Link           : logit

Response       : exe_strength_a~f_cr3         Number of obs     =        2,206
Family         : ordinal
Link           : logit

--------------------------------------------------------------------------------------------
                           |             Linearized
                           |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
exe_aerobic_advice_m_cr0   |
                  yearsold |   .0001805   .0004427     0.41   0.684    -.0006873    .0010482
                           |
                      year |
                     2016  |  -.1596349   .0832783    -1.92   0.055    -.3228577    .0035879
                     2017  |  -.0148263   .0167877    -0.88   0.377    -.0477297    .0180771
                     2018  |  -.2826379   .0651041    -4.34   0.000    -.4102398   -.1550361
                     2019  |   .1281483   .0170681     7.51   0.000     .0946954    .1616012
                     2020  |  -.1004662   .0556818    -1.80   0.071    -.2096007    .0086682
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |   .1472144   .1522336     0.97   0.334    -.1511584    .4455872
           1nHwhite_Multi  |  -.0651447   .1677032    -0.39   0.698    -.3938373    .2635479
              3NHPI_Multi  |   .7127182   .4417181     1.61   0.107    -.1530346    1.578471
                   4Other  |  -.1368355   .1527958    -0.90   0.370    -.4363101    .1626391
---------------------------+----------------------------------------------------------------
exe_strength_advice_m_cr0  |
                  yearsold |  -.0156214   .0004931   -31.68   0.000    -.0165878    -.014655
                           |
                      year |
                     2016  |  -.0166037    .101555    -0.16   0.870    -.2156481    .1824408
                     2017  |   -.020829   .0188624    -1.10   0.269    -.0577987    .0161407
                     2018  |   .1100501   .0761267     1.45   0.148    -.0391556    .2592559
                     2019  |   .2689614   .0187737    14.33   0.000     .2321655    .3057573
                     2020  |   .2758127   .0616709     4.47   0.000     .1549398    .3966855
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |  -.2604725   .1503453    -1.73   0.083    -.5551442    .0341991
           1nHwhite_Multi  |  -.2241188   .1659678    -1.35   0.177    -.5494101    .1011725
              3NHPI_Multi  |   .2170781   .6195028     0.35   0.726    -.9971265    1.431283
                   4Other  |  -.1550337   .1510547    -1.03   0.305    -.4510957    .1410284
---------------------------+----------------------------------------------------------------
exe_aerobic_advice_m_cr1   |
                  yearsold |   .0072261   .0009052     7.98   0.000      .005452    .0090002
                           |
                      year |
                     2016  |  -.0108645   .0833866    -0.13   0.896    -.1742994    .1525703
                     2017  |   .0092834   .0349635     0.27   0.791    -.0592438    .0778107
                     2018  |  -.2147006   .1119221    -1.92   0.055    -.4340642    .0046631
                     2019  |   .0280345   .0329285     0.85   0.395    -.0365043    .0925732
                     2020  |  -.1302338   .1071894    -1.21   0.224    -.3403215    .0798539
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |  -.1419795   .1983769    -0.72   0.474    -.5307916    .2468326
           1nHwhite_Multi  |  -.1865014    .227907    -0.82   0.413    -.6331914    .2601886
              3NHPI_Multi  |  -.6310898   .4334914    -1.46   0.145    -1.480719    .2185389
                   4Other  |  -.5489336   .1990992    -2.76   0.006    -.9391614   -.1587058
---------------------------+----------------------------------------------------------------
exe_strength_advice_m_cr1  |
                  yearsold |   -.014512   .0010069   -14.41   0.000    -.0164855   -.0125385
                           |
                      year |
                     2016  |   .1302681   .0889211     1.46   0.143    -.0440143    .3045504
                     2017  |   .0257808   .0384595     0.67   0.503    -.0495986    .1011602
                     2018  |   .2806008    .111843     2.51   0.012     .0613923    .4998094
                     2019  |   .1538736   .0354616     4.34   0.000       .08437    .2233773
                     2020  |   .1024077   .1231116     0.83   0.406     -.138887    .3437023
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |  -.2832422   .1955757    -1.45   0.148    -.6665641    .1000797
           1nHwhite_Multi  |  -.0295798   .2337565    -0.13   0.899    -.4877347    .4285751
              3NHPI_Multi  |   .7960794    .492858     1.62   0.106    -.1699058    1.762065
                   4Other  |  -.3780741   .1967354    -1.92   0.055    -.7636688    .0075206
---------------------------+----------------------------------------------------------------
exe_aerobic_advice_m_cr2   |
                  yearsold |   .0059615   .0019847     3.00   0.003     .0020716    .0098513
                           |
                      year |
                     2016  |   .0464478   .5464062     0.09   0.932     -1.02449    1.117386
                     2017  |   .0457476   .0745906     0.61   0.540    -.1004475    .1919428
                     2018  |   .0598782    .427785     0.14   0.889     -.778566    .8983224
                     2019  |  -.0427568   .0748909    -0.57   0.568    -.1895405    .1040269
                     2020  |   -.018258    .175336    -0.10   0.917    -.3619107    .3253947
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |   .3868222   .1405354     2.75   0.006     .1113774     .662267
           1nHwhite_Multi  |  -.1371525   .1730966    -0.79   0.428     -.476416    .2021111
              3NHPI_Multi  |   .1646216   .1620125     1.02   0.310    -.1529175    .4821608
                   4Other  |  -.1062128   .1342296    -0.79   0.429    -.3692984    .1568727
---------------------------+----------------------------------------------------------------
exe_strength_advice_m_cr2  |
                  yearsold |   -.017112   .0020622    -8.30   0.000    -.0211539   -.0130701
                           |
                      year |
                     2016  |  -.1883568   .5133139    -0.37   0.714    -1.194435    .8177212
                     2017  |   .2348852    .078553     2.99   0.003      .080924    .3888464
                     2018  |  -.0371411   .5208411    -0.07   0.943    -1.057972      .98369
                     2019  |   .2035224   .0795661     2.56   0.011     .0475756    .3594692
                     2020  |   .0315887   .1891856     0.17   0.867    -.3392087    .4023862
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |   .0180488   .1365731     0.13   0.895    -.2496298    .2857275
           1nHwhite_Multi  |  -.1457449   .1851293    -0.79   0.431    -.5085922    .2171023
              3NHPI_Multi  |  -.0342552   .1572272    -0.22   0.828    -.3424153    .2739049
                   4Other  |  -.2194956   .1323808    -1.66   0.097    -.4789576    .0399664
---------------------------+----------------------------------------------------------------
exe_aerobic_advice_m_cr3   |
                  yearsold |  -.0129639   .0045245    -2.87   0.004    -.0218318    -.004096
                           |
                      year |
                     2016  |   -.586317   .5633949    -1.04   0.298    -1.690552    .5179181
                     2017  |  -.1854049   .1625134    -1.14   0.254    -.5039257    .1331159
                     2018  |   24.71949   1.015732    24.34   0.000     22.72869    26.71029
                     2019  |  -.1502662   .1643423    -0.91   0.361    -.4723717    .1718393
                     2020  |   .1317861   .2836027     0.46   0.642    -.4240658     .687638
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |   .2035812   .1673234     1.22   0.224    -.1243671    .5315295
           1nHwhite_Multi  |    1.33091   .5217433     2.55   0.011     .3083103    2.353509
              3NHPI_Multi  |  -.4226567   .2526323    -1.67   0.094    -.9178077    .0724942
                   4Other  |  -.2729358   .1468903    -1.86   0.063    -.5608358    .0149643
---------------------------+----------------------------------------------------------------
exe_strength_advice_m_cr3  |
                  yearsold |  -.0266416   .0048469    -5.50   0.000    -.0361414   -.0171418
                           |
                      year |
                     2016  |   .1005405   .4934975     0.20   0.839     -.866698    1.067779
                     2017  |  -.0294075    .170494    -0.17   0.863    -.3635701     .304755
                     2018  |  -23.66633   1.016558   -23.28   0.000    -25.65875   -21.67391
                     2019  |   .0507773   .1665919     0.30   0.761    -.2757372    .3772919
                     2020  |   .1501607   .3633735     0.41   0.679    -.5620391    .8623605
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |   .5015877   .1964709     2.55   0.011     .1165114     .886664
           1nHwhite_Multi  |   .0659851   .5168354     0.13   0.898     -.946995    1.078965
              3NHPI_Multi  |   .2446782   .2495249     0.98   0.327    -.2443822    .7337385
                   4Other  |   .0881886   .1530549     0.58   0.564     -.211794    .3881711
---------------------------+----------------------------------------------------------------
exe_aerobic_advice_f_cr0   |
                  yearsold |  -.0071161   .0004003   -17.78   0.000    -.0079005   -.0063316
                           |
                      year |
                     2016  |   -.316324   .0786489    -4.02   0.000    -.4704732   -.1621749
                     2017  |  -.0297024   .0152676    -1.95   0.052    -.0596265    .0002217
                     2018  |  -.3744507   .0635037    -5.90   0.000    -.4989157   -.2499856
                     2019  |   .0467914   .0152029     3.08   0.002     .0169942    .0765886
                     2020  |  -.1744711   .0513528    -3.40   0.001    -.2751209   -.0738213
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |   .6788975   .1615271     4.20   0.000     .3623097    .9954853
           1nHwhite_Multi  |   .6738052   .1769093     3.81   0.000     .3270689    1.020541
              3NHPI_Multi  |   .9926532   .5574528     1.78   0.075    -.0999357    2.085242
                   4Other  |   .2779571   .1619774     1.72   0.086    -.0395131    .5954274
---------------------------+----------------------------------------------------------------
exe_strength_advice_f_cr0  |
                  yearsold |  -.0094977   .0004851   -19.58   0.000    -.0104486   -.0085469
                           |
                      year |
                     2016  |  -.0190136   .1086165    -0.18   0.861    -.2318983    .1938712
                     2017  |   .0239347   .0184019     1.30   0.193    -.0121325    .0600018
                     2018  |   .0848558   .0747161     1.14   0.256    -.0615853    .2312968
                     2019  |   .3333891   .0180602    18.46   0.000     .2979917    .3687865
                     2020  |   .3291241   .0627137     5.25   0.000     .2062074    .4520408
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |   .2107368   .1639259     1.29   0.199    -.1105526    .5320262
           1nHwhite_Multi  |   .2491139   .1821447     1.37   0.171    -.1078836    .6061114
              3NHPI_Multi  |   1.698943   .6514812     2.61   0.009      .422062    2.975825
                   4Other  |   .0781878   .1646094     0.47   0.635    -.2444411    .4008167
---------------------------+----------------------------------------------------------------
exe_aerobic_advice_f_cr1   |
                  yearsold |  -.0011775   .0009612    -1.23   0.221    -.0030614    .0007063
                           |
                      year |
                     2016  |  -.2355517   .0792416    -2.97   0.003    -.3908625   -.0802409
                     2017  |   -.073769   .0357522    -2.06   0.039    -.1438421   -.0036959
                     2018  |  -.2616466   .1039762    -2.52   0.012    -.4654365   -.0578568
                     2019  |  -.0948226   .0332637    -2.85   0.004    -.1600183    -.029627
                     2020  |  -.1700404   .1094057    -1.55   0.120    -.3844719    .0443911
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |   .2617494    .184727     1.42   0.156    -.1003093    .6238081
           1nHwhite_Multi  |   .2528896   .2172404     1.16   0.244    -.1728943    .6786734
              3NHPI_Multi  |  -.2043101   .5870166    -0.35   0.728    -1.354843    .9462228
                   4Other  |  -.1471836   .1858592    -0.79   0.428    -.5114615    .2170942
---------------------------+----------------------------------------------------------------
exe_strength_advice_f_cr1  |
                  yearsold |  -.0101956   .0010163   -10.03   0.000    -.0121875   -.0082036
                           |
                      year |
                     2016  |  -.1917378   .1055021    -1.82   0.069    -.3985183    .0150427
                     2017  |   .0127888   .0396183     0.32   0.747    -.0648617    .0904392
                     2018  |   .1964781   .1373051     1.43   0.152    -.0726354    .4655916
                     2019  |   .1352085   .0365672     3.70   0.000     .0635381    .2068789
                     2020  |   .1862358   .1166593     1.60   0.110    -.0424126    .4148842
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |  -.0940119   .2386693    -0.39   0.694    -.5617958    .3737721
           1nHwhite_Multi  |   .0040694   .2722717     0.01   0.988    -.5295739    .5377128
              3NHPI_Multi  |   .6214454   .5125093     1.21   0.225    -.3830556    1.625946
                   4Other  |  -.4289387   .2400845    -1.79   0.074    -.8994963     .041619
---------------------------+----------------------------------------------------------------
exe_aerobic_advice_f_cr2   |
                  yearsold |   .0021373   .0019266     1.11   0.267    -.0016387    .0059133
                           |
                      year |
                     2016  |  -.1789397    .695664    -0.26   0.797    -1.542418    1.184538
                     2017  |  -.0762069   .0721206    -1.06   0.291    -.2175609    .0651471
                     2018  |   -.544655   .3297599    -1.65   0.099    -1.190973    .1016634
                     2019  |   .0142246   .0734484     0.19   0.846    -.1297318     .158181
                     2020  |  -.3334158   .1786277    -1.87   0.062    -.6835202    .0166886
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |   .5130836   .1281959     4.00   0.000      .261824    .7643432
           1nHwhite_Multi  |   .2086144   .1659009     1.26   0.209    -.1165457    .5337745
              3NHPI_Multi  |  -.0267893   .1424962    -0.19   0.851     -.306077    .2524985
                   4Other  |  -.1259418   .1237061    -1.02   0.309    -.3684016    .1165181
---------------------------+----------------------------------------------------------------
exe_strength_advice_f_cr2  |
                  yearsold |    -.00838   .0020586    -4.07   0.000    -.0124148   -.0043452
                           |
                      year |
                     2016  |   .5252971   .7277588     0.72   0.470    -.9010859     1.95168
                     2017  |   .0011381   .0809661     0.01   0.989    -.1575527    .1598288
                     2018  |  -.1061042   .3986028    -0.27   0.790    -.8873524    .6751439
                     2019  |   .3499961   .0802832     4.36   0.000     .1926437    .5073485
                     2020  |   .0362163   .2206865     0.16   0.870    -.3963219    .4687544
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |   .4673722   .1404827     3.33   0.001     .1920308    .7427135
           1nHwhite_Multi  |   .4143729    .189496     2.19   0.029      .042967    .7857788
              3NHPI_Multi  |   -.153959   .1623708    -0.95   0.343    -.4722002    .1642823
                   4Other  |   .0511025   .1378294     0.37   0.711    -.2190385    .3212436
---------------------------+----------------------------------------------------------------
exe_aerobic_advice_f_cr3   |
                  yearsold |  -.0001294   .0043289    -0.03   0.976    -.0086138     .008355
                           |
                      year |
                     2016  |  -.0177864   .4530618    -0.04   0.969    -.9057724    .8701997
                     2017  |  -.0998487   .1545303    -0.65   0.518     -.402723    .2030256
                     2018  |     25.032   1.010019    24.78   0.000     23.05239     27.0116
                     2019  |   .1662661   .1560009     1.07   0.287    -.1394905    .4720226
                     2020  |   .1313413   .3608263     0.36   0.716    -.5758661    .8385487
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |   .8045099   .2156545     3.73   0.000     .3818343    1.227185
           1nHwhite_Multi  |   .5161624   .3451176     1.50   0.135    -.1602566    1.192581
              3NHPI_Multi  |   .3404596    .214304     1.59   0.112    -.0795691    .7604883
                   4Other  |   .1345488   .1386873     0.97   0.332    -.1372736    .4063712
---------------------------+----------------------------------------------------------------
exe_strength_advice_f_cr3  |
                  yearsold |  -.0132211   .0050183    -2.63   0.008    -.0230567   -.0033854
                           |
                      year |
                     2016  |   .4325973   .4623837     0.94   0.349    -.4736593    1.338854
                     2017  |   .0730765   .1871707     0.39   0.696    -.2937718    .4399248
                     2018  |  -24.05874   1.015624   -23.69   0.000    -26.04933   -22.06815
                     2019  |   .3646763   .1762681     2.07   0.039     .0191967    .7101559
                     2020  |   .1533847   .4118921     0.37   0.710      -.65391    .9606795
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |   .7827154   .2232475     3.51   0.000     .3451578    1.220273
           1nHwhite_Multi  |   .1751374   .5521036     0.32   0.751    -.9069671    1.257242
              3NHPI_Multi  |  -.1522462   .2436501    -0.62   0.532    -.6297922    .3252998
                   4Other  |   .1012529   .1658825     0.61   0.542    -.2238712    .4263771
---------------------------+----------------------------------------------------------------
/exe_aerobic_advice_m_cr0  |
                      cut1 |  -.7935075   .1532643                       -1.0939   -.4931146
                      cut2 |    .056524    .153249                     -.2438389    .3568869
---------------------------+----------------------------------------------------------------
/exe_strength_advice_m_cr0 |
                      cut1 |  -.2428854   .1518199                     -.5404473    .0546765
---------------------------+----------------------------------------------------------------
/exe_aerobic_advice_m_cr1  |
                      cut1 |  -1.235108   .2022643                     -1.631539   -.8386765
                      cut2 |  -.2618535   .2022202                     -.6581983    .1344912
---------------------------+----------------------------------------------------------------
/exe_strength_advice_m_cr1 |
                      cut1 |  -.3601342   .2005611                     -.7532272    .0329588
---------------------------+----------------------------------------------------------------
/exe_aerobic_advice_m_cr2  |
                      cut1 |  -.9346551    .166819                     -1.261615   -.6076955
                      cut2 |  -.0422556   .1685445                     -.3725972     .288086
---------------------------+----------------------------------------------------------------
/exe_strength_advice_m_cr2 |
                      cut1 |  -.3812284   .1689936                     -.7124502   -.0500067
---------------------------+----------------------------------------------------------------
/exe_aerobic_advice_m_cr3  |
                      cut1 |  -1.671593   .2755011                     -2.211566    -1.13162
                      cut2 |  -.7984133   .2700372                     -1.327677   -.2691495
---------------------------+----------------------------------------------------------------
/exe_strength_advice_m_cr3 |
                      cut1 |   -.683933   .2758997                     -1.224687   -.1431789
---------------------------+----------------------------------------------------------------
/exe_aerobic_advice_f_cr0  |
                      cut1 |  -.6077892   .1628461                     -.9269622   -.2886162
                      cut2 |   .2696576   .1628227                     -.0494695    .5887847
---------------------------+----------------------------------------------------------------
/exe_strength_advice_f_cr0 |
                      cut1 |   .8116533    .165555                       .487171    1.136136
---------------------------+----------------------------------------------------------------
/exe_aerobic_advice_f_cr1  |
                      cut1 |  -1.243229   .1904436                     -1.616492   -.8699662
                      cut2 |  -.3032464   .1905378                     -.6766941    .0702012
---------------------------+----------------------------------------------------------------
/exe_strength_advice_f_cr1 |
                      cut1 |   .1898308   .2426846                      -.285823    .6654846
---------------------------+----------------------------------------------------------------
/exe_aerobic_advice_f_cr2  |
                      cut1 |  -.7844957   .1604026                     -1.098879    -.470112
                      cut2 |  -.0130746   .1607719                     -.3281822    .3020331
---------------------------+----------------------------------------------------------------
/exe_strength_advice_f_cr2 |
                      cut1 |   .7145411   .1768715                      .3678788    1.061203
---------------------------+----------------------------------------------------------------
/exe_aerobic_advice_f_cr3  |
                      cut1 |  -.3869765   .2450207                     -.8672088    .0932558
                      cut2 |   .3942419    .243017                     -.0820632    .8705471
---------------------------+----------------------------------------------------------------
/exe_strength_advice_f_cr3 |
                      cut1 |    .791205   .2968718                      .2093462    1.373064
--------------------------------------------------------------------------------------------
Note: Strata with single sampling unit centered at overall mean.
r; t=362.82 0:25:14

. 
. 
. 
. 
. 
. 
. 
. *Meeting aerobic exercise recommendation among men in Eastern US
. lincom _b[exe_aerobic_advice_m_cr0:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr0]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.158602   .1763782     0.97   0.334     .8597115    1.561407
------------------------------------------------------------------------------
r; t=0.05 0:25:14

. matrix aerobic_m_cr0_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:14

. local aerobic_m_cr0_race0_se="(" + string(aerobic_m_cr0_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:25:14

. local aerobic_m_cr0_race0_p=aerobic_m_cr0_race0[3,1]
r; t=0.00 0:25:14

. if `aerobic_m_cr0_race0_p'<0.001 {
.         local aerobic_m_cr0_race0_est=string(aerobic_m_cr0_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:25:14
. }
r; t=0.00 0:25:14

. else if `aerobic_m_cr0_race0_p'<0.01 {
.         local aerobic_m_cr0_race0_est=string(aerobic_m_cr0_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:25:14
. }
r; t=0.00 0:25:14

. else if `aerobic_m_cr0_race0_p'<0.05 {
.         local aerobic_m_cr0_race0_est=string(aerobic_m_cr0_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:25:14
. }
r; t=0.00 0:25:14

. else {
.         local aerobic_m_cr0_race0_est=string(aerobic_m_cr0_race0[1,1], "%3.2f")
r; t=0.00 0:25:14
. }
r; t=0.00 0:25:14

. 
. 
. lincom _b[exe_aerobic_advice_m_cr0:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr0]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9369319   .1571264    -0.39   0.698     .6744638     1.30154
------------------------------------------------------------------------------
r; t=0.03 0:25:14

. matrix aerobic_m_cr0_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:14

. local aerobic_m_cr0_race1_se="(" + string(aerobic_m_cr0_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:25:14

. local aerobic_m_cr0_race1_p=aerobic_m_cr0_race1[3,1]
r; t=0.00 0:25:14

. if `aerobic_m_cr0_race1_p'<0.001 {
.         local aerobic_m_cr0_race1_est=string(aerobic_m_cr0_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:25:14
. }
r; t=0.00 0:25:14

. else if `aerobic_m_cr0_race1_p'<0.01 {
.         local aerobic_m_cr0_race1_est=string(aerobic_m_cr0_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:25:14
. }
r; t=0.00 0:25:14

. else if `aerobic_m_cr0_race1_p'<0.05 {
.         local aerobic_m_cr0_race1_est=string(aerobic_m_cr0_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:25:14
. }
r; t=0.00 0:25:14

. else {
.         local aerobic_m_cr0_race1_est=string(aerobic_m_cr0_race1[1,1], "%3.2f")
r; t=0.00 0:25:14
. }
r; t=0.00 0:25:14

. 
. 
. lincom _b[exe_aerobic_advice_m_cr0:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr0]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   2.039528   .9008963     1.61   0.107     .8581001    4.847538
------------------------------------------------------------------------------
r; t=0.03 0:25:15

. matrix aerobic_m_cr0_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:15

. local aerobic_m_cr0_race3_se="(" + string(aerobic_m_cr0_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:25:15

. local aerobic_m_cr0_race3_p=aerobic_m_cr0_race3[3,1]
r; t=0.00 0:25:15

. if `aerobic_m_cr0_race3_p'<0.001 {
.         local aerobic_m_cr0_race3_est=string(aerobic_m_cr0_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr0_race3_p'<0.01 {
.         local aerobic_m_cr0_race3_est=string(aerobic_m_cr0_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr0_race3_p'<0.05 {
.         local aerobic_m_cr0_race3_est=string(aerobic_m_cr0_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else {
.         local aerobic_m_cr0_race3_est=string(aerobic_m_cr0_race3[1,1], "%3.2f")
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. 
. 
. lincom _b[exe_aerobic_advice_m_cr0:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr0]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8721137   .1332553    -0.90   0.370     .6464172    1.176612
------------------------------------------------------------------------------
r; t=0.03 0:25:15

. matrix aerobic_m_cr0_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:15

. local aerobic_m_cr0_race4_se="(" + string(aerobic_m_cr0_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:25:15

. local aerobic_m_cr0_race4_p=aerobic_m_cr0_race4[3,1]
r; t=0.00 0:25:15

. if `aerobic_m_cr0_race4_p'<0.001 {
.         local aerobic_m_cr0_race4_est=string(aerobic_m_cr0_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr0_race4_p'<0.01 {
.         local aerobic_m_cr0_race4_est=string(aerobic_m_cr0_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr0_race4_p'<0.05 {
.         local aerobic_m_cr0_race4_est=string(aerobic_m_cr0_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else {
.         local aerobic_m_cr0_race4_est=string(aerobic_m_cr0_race4[1,1], "%3.2f")
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. 
. 
. 
. 
. 
. *Meeting aerobic exercise recommendation among men in Western US
. lincom _b[exe_aerobic_advice_m_cr1:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr1]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    .867639   .1721196    -0.72   0.474     .5881392    1.279965
------------------------------------------------------------------------------
r; t=0.05 0:25:15

. matrix aerobic_m_cr1_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:15

. local aerobic_m_cr1_race0_se="(" + string(aerobic_m_cr1_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:25:15

. local aerobic_m_cr1_race0_p=aerobic_m_cr1_race0[3,1]
r; t=0.00 0:25:15

. if `aerobic_m_cr1_race0_p'<0.001 {
.         local aerobic_m_cr1_race0_est=string(aerobic_m_cr1_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr1_race0_p'<0.01 {
.         local aerobic_m_cr1_race0_est=string(aerobic_m_cr1_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr1_race0_p'<0.05 {
.         local aerobic_m_cr1_race0_est=string(aerobic_m_cr1_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else {
.         local aerobic_m_cr1_race0_est=string(aerobic_m_cr1_race0[1,1], "%3.2f")
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. 
. 
. lincom _b[exe_aerobic_advice_m_cr1:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr1]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8298574   .1891303    -0.82   0.413     .5308948    1.297175
------------------------------------------------------------------------------
r; t=0.03 0:25:15

. matrix aerobic_m_cr1_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:15

. local aerobic_m_cr1_race1_se="(" + string(aerobic_m_cr1_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:25:15

. local aerobic_m_cr1_race1_p=aerobic_m_cr1_race1[3,1]
r; t=0.00 0:25:15

. if `aerobic_m_cr1_race1_p'<0.001 {
.         local aerobic_m_cr1_race1_est=string(aerobic_m_cr1_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr1_race1_p'<0.01 {
.         local aerobic_m_cr1_race1_est=string(aerobic_m_cr1_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr1_race1_p'<0.05 {
.         local aerobic_m_cr1_race1_est=string(aerobic_m_cr1_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else {
.         local aerobic_m_cr1_race1_est=string(aerobic_m_cr1_race1[1,1], "%3.2f")
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. 
. 
. lincom _b[exe_aerobic_advice_m_cr1:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr1]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .5320117   .2306225    -1.46   0.145     .2274742    1.244257
------------------------------------------------------------------------------
r; t=0.03 0:25:15

. matrix aerobic_m_cr1_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:15

. local aerobic_m_cr1_race3_se="(" + string(aerobic_m_cr1_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:25:15

. local aerobic_m_cr1_race3_p=aerobic_m_cr1_race3[3,1]
r; t=0.00 0:25:15

. if `aerobic_m_cr1_race3_p'<0.001 {
.         local aerobic_m_cr1_race3_est=string(aerobic_m_cr1_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr1_race3_p'<0.01 {
.         local aerobic_m_cr1_race3_est=string(aerobic_m_cr1_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr1_race3_p'<0.05 {
.         local aerobic_m_cr1_race3_est=string(aerobic_m_cr1_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else {
.         local aerobic_m_cr1_race3_est=string(aerobic_m_cr1_race3[1,1], "%3.2f")
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. 
. 
. lincom _b[exe_aerobic_advice_m_cr1:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr1]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .5775654   .1149928    -2.76   0.006     .3909556    .8532473
------------------------------------------------------------------------------
r; t=0.04 0:25:15

. matrix aerobic_m_cr1_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:15

. local aerobic_m_cr1_race4_se="(" + string(aerobic_m_cr1_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:25:15

. local aerobic_m_cr1_race4_p=aerobic_m_cr1_race4[3,1]
r; t=0.00 0:25:15

. if `aerobic_m_cr1_race4_p'<0.001 {
.         local aerobic_m_cr1_race4_est=string(aerobic_m_cr1_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr1_race4_p'<0.01 {
.         local aerobic_m_cr1_race4_est=string(aerobic_m_cr1_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr1_race4_p'<0.05 {
.         local aerobic_m_cr1_race4_est=string(aerobic_m_cr1_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else {
.         local aerobic_m_cr1_race4_est=string(aerobic_m_cr1_race4[1,1], "%3.2f")
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. 
. 
. 
. 
. 
. 
. *Meeting aerobic exercise recommendation among men in Hawaii
. lincom _b[exe_aerobic_advice_m_cr2:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.472295   .2069096     2.75   0.006     1.117817    1.939183
------------------------------------------------------------------------------
r; t=0.03 0:25:15

. matrix aerobic_m_cr2_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:15

. local aerobic_m_cr2_race0_se="(" + string(aerobic_m_cr2_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:25:15

. local aerobic_m_cr2_race0_p=aerobic_m_cr2_race0[3,1]
r; t=0.00 0:25:15

. if `aerobic_m_cr2_race0_p'<0.001 {
.         local aerobic_m_cr2_race0_est=string(aerobic_m_cr2_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr2_race0_p'<0.01 {
.         local aerobic_m_cr2_race0_est=string(aerobic_m_cr2_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr2_race0_p'<0.05 {
.         local aerobic_m_cr2_race0_est=string(aerobic_m_cr2_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else {
.         local aerobic_m_cr2_race0_est=string(aerobic_m_cr2_race0[1,1], "%3.2f")
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. 
. 
. lincom _b[exe_aerobic_advice_m_cr2:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8718373   .1509121    -0.79   0.428     .6210051    1.223984
------------------------------------------------------------------------------
r; t=0.03 0:25:15

. matrix aerobic_m_cr2_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:15

. local aerobic_m_cr2_race1_se="(" + string(aerobic_m_cr2_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:25:15

. local aerobic_m_cr2_race1_p=aerobic_m_cr2_race1[3,1]
r; t=0.00 0:25:15

. if `aerobic_m_cr2_race1_p'<0.001 {
.         local aerobic_m_cr2_race1_est=string(aerobic_m_cr2_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr2_race1_p'<0.01 {
.         local aerobic_m_cr2_race1_est=string(aerobic_m_cr2_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr2_race1_p'<0.05 {
.         local aerobic_m_cr2_race1_est=string(aerobic_m_cr2_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else {
.         local aerobic_m_cr2_race1_est=string(aerobic_m_cr2_race1[1,1], "%3.2f")
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. 
. 
. lincom _b[exe_aerobic_advice_m_cr2:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.178947   .1910042     1.02   0.310     .8582005     1.61957
------------------------------------------------------------------------------
r; t=0.04 0:25:15

. matrix aerobic_m_cr2_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:15

. local aerobic_m_cr2_race3_se="(" + string(aerobic_m_cr2_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:25:15

. local aerobic_m_cr2_race3_p=aerobic_m_cr2_race3[3,1]
r; t=0.00 0:25:15

. if `aerobic_m_cr2_race3_p'<0.001 {
.         local aerobic_m_cr2_race3_est=string(aerobic_m_cr2_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr2_race3_p'<0.01 {
.         local aerobic_m_cr2_race3_est=string(aerobic_m_cr2_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr2_race3_p'<0.05 {
.         local aerobic_m_cr2_race3_est=string(aerobic_m_cr2_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else {
.         local aerobic_m_cr2_race3_est=string(aerobic_m_cr2_race3[1,1], "%3.2f")
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. 
. 
. lincom _b[exe_aerobic_advice_m_cr2:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8992332   .1207037    -0.79   0.429     .6912191    1.169847
------------------------------------------------------------------------------
r; t=0.04 0:25:15

. matrix aerobic_m_cr2_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:15

. local aerobic_m_cr2_race4_se="(" + string(aerobic_m_cr2_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:25:15

. local aerobic_m_cr2_race4_p=aerobic_m_cr2_race4[3,1]
r; t=0.00 0:25:15

. if `aerobic_m_cr2_race4_p'<0.001 {
.         local aerobic_m_cr2_race4_est=string(aerobic_m_cr2_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr2_race4_p'<0.01 {
.         local aerobic_m_cr2_race4_est=string(aerobic_m_cr2_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr2_race4_p'<0.05 {
.         local aerobic_m_cr2_race4_est=string(aerobic_m_cr2_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else {
.         local aerobic_m_cr2_race4_est=string(aerobic_m_cr2_race4[1,1], "%3.2f")
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. 
. 
. 
. 
. 
. 
. *Meeting aerobic exercise recommendation among men in Guam
. lincom _b[exe_aerobic_advice_m_cr3:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.225785   .2051025     1.22   0.224     .8830556    1.701533
------------------------------------------------------------------------------
r; t=0.04 0:25:15

. matrix aerobic_m_cr3_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:15

. local aerobic_m_cr3_race0_se="(" + string(aerobic_m_cr3_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:25:15

. local aerobic_m_cr3_race0_p=aerobic_m_cr3_race0[3,1]
r; t=0.00 0:25:15

. if `aerobic_m_cr3_race0_p'<0.001 {
.         local aerobic_m_cr3_race0_est=string(aerobic_m_cr3_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr3_race0_p'<0.01 {
.         local aerobic_m_cr3_race0_est=string(aerobic_m_cr3_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr3_race0_p'<0.05 {
.         local aerobic_m_cr3_race0_est=string(aerobic_m_cr3_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else {
.         local aerobic_m_cr3_race0_est=string(aerobic_m_cr3_race0[1,1], "%3.2f")
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. 
. 
. lincom _b[exe_aerobic_advice_m_cr3:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   3.784485    1.97453     2.55   0.011     1.361123    10.52243
------------------------------------------------------------------------------
r; t=0.03 0:25:15

. matrix aerobic_m_cr3_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:15

. local aerobic_m_cr3_race1_se="(" + string(aerobic_m_cr3_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:25:15

. local aerobic_m_cr3_race1_p=aerobic_m_cr3_race1[3,1]
r; t=0.00 0:25:15

. if `aerobic_m_cr3_race1_p'<0.001 {
.         local aerobic_m_cr3_race1_est=string(aerobic_m_cr3_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr3_race1_p'<0.01 {
.         local aerobic_m_cr3_race1_est=string(aerobic_m_cr3_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr3_race1_p'<0.05 {
.         local aerobic_m_cr3_race1_est=string(aerobic_m_cr3_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else {
.         local aerobic_m_cr3_race1_est=string(aerobic_m_cr3_race1[1,1], "%3.2f")
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. 
. 
. lincom _b[exe_aerobic_advice_m_cr3:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6553035   .1655509    -1.67   0.094     .3993937    1.075187
------------------------------------------------------------------------------
r; t=0.04 0:25:15

. matrix aerobic_m_cr3_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:15

. local aerobic_m_cr3_race3_se="(" + string(aerobic_m_cr3_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:25:15

. local aerobic_m_cr3_race3_p=aerobic_m_cr3_race3[3,1]
r; t=0.00 0:25:15

. if `aerobic_m_cr3_race3_p'<0.001 {
.         local aerobic_m_cr3_race3_est=string(aerobic_m_cr3_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr3_race3_p'<0.01 {
.         local aerobic_m_cr3_race3_est=string(aerobic_m_cr3_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr3_race3_p'<0.05 {
.         local aerobic_m_cr3_race3_est=string(aerobic_m_cr3_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else {
.         local aerobic_m_cr3_race3_est=string(aerobic_m_cr3_race3[1,1], "%3.2f")
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. 
. 
. 
. lincom _b[exe_aerobic_advice_m_cr3:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7611417   .1118043    -1.86   0.063     .5707319    1.015077
------------------------------------------------------------------------------
r; t=0.03 0:25:15

. matrix aerobic_m_cr3_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:15

. local aerobic_m_cr3_race4_se="(" + string(aerobic_m_cr3_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:25:15

. local aerobic_m_cr3_race4_p=aerobic_m_cr3_race4[3,1]
r; t=0.00 0:25:15

. if `aerobic_m_cr3_race4_p'<0.001 {
.         local aerobic_m_cr3_race4_est=string(aerobic_m_cr3_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr3_race4_p'<0.01 {
.         local aerobic_m_cr3_race4_est=string(aerobic_m_cr3_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else if `aerobic_m_cr3_race4_p'<0.05 {
.         local aerobic_m_cr3_race4_est=string(aerobic_m_cr3_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. else {
.         local aerobic_m_cr3_race4_est=string(aerobic_m_cr3_race4[1,1], "%3.2f")
r; t=0.00 0:25:15
. }
r; t=0.00 0:25:15

. 
. 
. 
. 
. *Test if the differences between NHPI and each racial/ethnic group between Guam and other census regions
. lincom _b[exe_aerobic_advice_m_cr0:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr3:0.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr0]0.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9451924   .2138146    -0.25   0.803     .6066907     1.47256
------------------------------------------------------------------------------
r; t=0.03 0:25:15

. local aerobic_m_cr03_race0=`r(p)'
r; t=0.00 0:25:15

. 
. lincom _b[exe_aerobic_advice_m_cr0:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr3:1.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr0]1.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .2475719   .1356776    -2.55   0.011     .0845695    .7247507
------------------------------------------------------------------------------
r; t=0.04 0:25:15

. local aerobic_m_cr03_race1=`r(p)'
r; t=0.00 0:25:15

. 
. lincom _b[exe_aerobic_advice_m_cr0:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr3:3.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr0]3.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    3.11234   1.583744     2.23   0.026     1.148007    8.437808
------------------------------------------------------------------------------
r; t=0.03 0:25:15

. local aerobic_m_cr03_race3=`r(p)'
r; t=0.00 0:25:15

. 
. lincom _b[exe_aerobic_advice_m_cr0:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr3:4.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr0]4.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.145797    .242853     0.64   0.521     .7563001    1.735885
------------------------------------------------------------------------------
r; t=0.03 0:25:15

. local aerobic_m_cr03_race4=`r(p)'
r; t=0.00 0:25:15

. 
. 
. lincom _b[exe_aerobic_advice_m_cr1:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr3:0.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr1]0.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7078234   .1836942    -1.33   0.183      .425619    1.177142
------------------------------------------------------------------------------
r; t=0.03 0:25:15

. local aerobic_m_cr13_race0=`r(p)'
r; t=0.00 0:25:15

. 
. lincom _b[exe_aerobic_advice_m_cr1:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr3:1.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr1]1.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .2192788   .1248461    -2.67   0.008     .0718399    .6693105
------------------------------------------------------------------------------
r; t=0.04 0:25:15

. local aerobic_m_cr13_race1=`r(p)'
r; t=0.00 0:25:15

. 
. lincom _b[exe_aerobic_advice_m_cr1:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr3:3.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr1]3.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8118554   .4073362    -0.42   0.678     .3036691    2.170485
------------------------------------------------------------------------------
r; t=0.03 0:25:15

. local aerobic_m_cr13_race3=`r(p)'
r; t=0.00 0:25:15

. 
. lincom _b[exe_aerobic_advice_m_cr1:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr3:4.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr1]4.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7588146   .1877468    -1.12   0.265     .4672293     1.23237
------------------------------------------------------------------------------
r; t=0.04 0:25:15

. local aerobic_m_cr13_race4=`r(p)'
r; t=0.00 0:25:15

. 
. 
. lincom _b[exe_aerobic_advice_m_cr2:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr3:0.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr2]0.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.201104   .2624552     0.84   0.402     .7826775    1.843225
------------------------------------------------------------------------------
r; t=0.03 0:25:15

. local aerobic_m_cr23_race0=`r(p)'
r; t=0.00 0:25:15

. 
. lincom _b[exe_aerobic_advice_m_cr2:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr3:1.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr2]1.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .2303715    .126637    -2.67   0.008     .0784361    .6766145
------------------------------------------------------------------------------
r; t=0.03 0:25:15

. local aerobic_m_cr23_race1=`r(p)'
r; t=0.00 0:25:15

. 
. lincom _b[exe_aerobic_advice_m_cr2:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr3:3.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr2]3.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.799085   .5399389     1.96   0.050     .9990564    3.239765
------------------------------------------------------------------------------
r; t=0.04 0:25:15

. local aerobic_m_cr23_race3=`r(p)'
r; t=0.00 0:25:15

. 
. lincom _b[exe_aerobic_advice_m_cr2:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr3:4.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr2]4.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.181427   .2350842     0.84   0.402     .7998927    1.744946
------------------------------------------------------------------------------
r; t=0.03 0:25:15

. local aerobic_m_cr23_race4=`r(p)'
r; t=0.00 0:25:15

. 
. 
. 
. 
. *Store the number of observations in each model
. matrix `mname'_obs=e(_N)
r; t=0.00 0:25:15

. local aerobic_m_cr0_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_m_cr0")]
r; t=0.00 0:25:15

. local aerobic_m_cr1_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_m_cr1")]
r; t=0.00 0:25:15

. local aerobic_m_cr2_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_m_cr2")]
r; t=0.00 0:25:15

. local aerobic_m_cr3_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_m_cr3")]
r; t=0.00 0:25:15

. 
. /*
> matrix Output=(aerobic_m_cr0_race0, aerobic_m_cr03_race0, aerobic_m_cr1_race0, aerobic_m_cr13_race0, aerobic_m_cr2_rac
> e0, aerobic_m_cr23_race0, aerobic_m_cr3_race0 \ ///
> aerobic_m_cr0_race1, aerobic_m_cr03_race1, aerobic_m_cr1_race1, aerobic_m_cr13_race1, aerobic_m_cr2_race1, aerobic_m_c
> r23_race1, aerobic_m_cr3_race1 \ ///
> aerobic_m_cr0_race3, aerobic_m_cr03_race3, aerobic_m_cr1_race3, aerobic_m_cr13_race3, aerobic_m_cr2_race3, aerobic_m_c
> r23_race3, aerobic_m_cr3_race3 \ ///
> aerobic_m_cr0_race4, aerobic_m_cr03_race4, aerobic_m_cr1_race4, aerobic_m_cr13_race4, aerobic_m_cr2_race4, aerobic_m_c
> r23_race4, aerobic_m_cr3_race4)
> matrix list Output
> */
. putexcel set "model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_m", replace
Note: file will be replaced when the first putexcel command is issued
r; t=0.00 0:25:15

. putexcel A1=("") B1=("Estimates in Eastern US") C1=("Wald test with corresponding Guam estimates (p-value)") D1=("Esti
> mates in West coast") E1=("Wald test with corresponding Guam estimates (p-value)")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:15

. putexcel F1=("Estimates in Hawaii") G1=("Wald test with corresponding Guam estimates (p-value)") H1=("Estimates in Gua
> m")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:15

. putexcel A2=("nHwhite (single) Odds ratio") A3=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:15

. putexcel A4=("nHwhite (multirace) Odds ratio") A5=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:15

. putexcel A6=("NHPI (multirace) Odds ratio") A7=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.01 0:25:15

. putexcel A8=("other racial/ethnic groups Odds ratio") A9=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:15

. putexcel A10=("No. of observations")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:16

. putexcel B2="`aerobic_m_cr0_race0_est'" B3="`aerobic_m_cr0_race0_se'" B4="`aerobic_m_cr0_race1_est'" B5="`aerobic_m_cr
> 0_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:16

. putexcel B6="`aerobic_m_cr0_race3_est'" B7="`aerobic_m_cr0_race3_se'" B8="`aerobic_m_cr0_race4_est'" B9="`aerobic_m_cr
> 0_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.03 0:25:16

. putexcel B10=`aerobic_m_cr0_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:16

. putexcel C2=`aerobic_m_cr03_race0' C4=`aerobic_m_cr03_race1' C6=`aerobic_m_cr03_race3' C8=`aerobic_m_cr03_race4', nfor
> mat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:16

. putexcel D2="`aerobic_m_cr1_race0_est'" D3="`aerobic_m_cr1_race0_se'" D4="`aerobic_m_cr1_race1_est'" D5="`aerobic_m_cr
> 1_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:16

. putexcel D6="`aerobic_m_cr1_race3_est'" D7="`aerobic_m_cr1_race3_se'" D8="`aerobic_m_cr1_race4_est'" D9="`aerobic_m_cr
> 1_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:16

. putexcel D10=`aerobic_m_cr1_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.03 0:25:16

. putexcel E2=`aerobic_m_cr13_race0' E4=`aerobic_m_cr13_race1' E6=`aerobic_m_cr13_race3' E8=`aerobic_m_cr13_race4', nfor
> mat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:16

. putexcel F2="`aerobic_m_cr2_race0_est'" F3="`aerobic_m_cr2_race0_se'" F4="`aerobic_m_cr2_race1_est'" F5="`aerobic_m_cr
> 2_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:16

. putexcel F6="`aerobic_m_cr2_race3_est'" F7="`aerobic_m_cr2_race3_se'" F8="`aerobic_m_cr2_race4_est'" F9="`aerobic_m_cr
> 2_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:16

. putexcel F10=`aerobic_m_cr2_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:16

. putexcel G2=`aerobic_m_cr23_race0' G4=`aerobic_m_cr23_race1' G6=`aerobic_m_cr23_race3' G8=`aerobic_m_cr23_race4', nfor
> mat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:16

. putexcel H2="`aerobic_m_cr3_race0_est'" H3="`aerobic_m_cr3_race0_se'" H4="`aerobic_m_cr3_race1_est'" H5="`aerobic_m_cr
> 3_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:16

. putexcel H6="`aerobic_m_cr3_race3_est'" H7="`aerobic_m_cr3_race3_se'" H8="`aerobic_m_cr3_race4_est'" H9="`aerobic_m_cr
> 3_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:16

. putexcel H10=`aerobic_m_cr3_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:16

. putexcel close
r; t=0.00 0:25:16

. 
. 
. 
. 
. 
. 
. *Test if the differences between NHPI and each racial/ethnic group between Hawaii and other census regions
. lincom _b[exe_aerobic_advice_m_cr0:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr2:0.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr0]0.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7869365   .1630408    -1.16   0.247     .5243049    1.181124
------------------------------------------------------------------------------
r; t=0.03 0:25:16

. local aerobic_m_cr02_race0=`r(p)'
r; t=0.00 0:25:16

. 
. lincom _b[exe_aerobic_advice_m_cr0:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr2:1.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr0]1.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.074664   .2590068     0.30   0.765     .6700736    1.723545
------------------------------------------------------------------------------
r; t=0.04 0:25:16

. local aerobic_m_cr02_race1=`r(p)'
r; t=0.00 0:25:16

. 
. lincom _b[exe_aerobic_advice_m_cr0:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr2:3.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr0]3.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.729957   .8139314     1.16   0.244     .6879408    4.350304
------------------------------------------------------------------------------
r; t=0.03 0:25:16

. local aerobic_m_cr02_race3=`r(p)'
r; t=0.00 0:25:16

. 
. lincom _b[exe_aerobic_advice_m_cr0:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr2:4.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr0]4.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9698414   .1972481    -0.15   0.880      .651001     1.44484
------------------------------------------------------------------------------
r; t=0.03 0:25:16

. local aerobic_m_cr02_race4=`r(p)'
r; t=0.00 0:25:16

. 
. 
. lincom _b[exe_aerobic_advice_m_cr1:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr2:0.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr1]0.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .5893107   .1432687    -2.18   0.030     .3659371    .9490349
------------------------------------------------------------------------------
r; t=0.04 0:25:16

. local aerobic_m_cr12_race0=`r(p)'
r; t=0.00 0:25:16

. 
. lincom _b[exe_aerobic_advice_m_cr1:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr2:1.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr1]1.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9518489   .2724085    -0.17   0.863     .5432045     1.66791
------------------------------------------------------------------------------
r; t=0.03 0:25:16

. local aerobic_m_cr12_race1=`r(p)'
r; t=0.00 0:25:16

. 
. lincom _b[exe_aerobic_advice_m_cr1:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr2:3.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr1]3.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .4512601   .2088329    -1.72   0.086     .1821837    1.117749
------------------------------------------------------------------------------
r; t=0.03 0:25:16

. local aerobic_m_cr12_race3=`r(p)'
r; t=0.00 0:25:16

. 
. lincom _b[exe_aerobic_advice_m_cr1:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr2:4.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr1]4.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6422865   .1542265    -1.84   0.065     .4011781    1.028301
------------------------------------------------------------------------------
r; t=0.03 0:25:16

. local aerobic_m_cr12_race4=`r(p)'
r; t=0.00 0:25:16

. 
. 
. lincom _b[exe_aerobic_advice_m_cr3:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr2:0.praceethnicgp_multi_sim], 
> eform

 ( 1)  - [exe_aerobic_advice_m_cr2]0.praceethnicgp_multi_sim + [exe_aerobic_advice_m_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8325675   .1819257    -0.84   0.402     .5425275    1.277665
------------------------------------------------------------------------------
r; t=0.04 0:25:16

. local aerobic_m_cr32_race0=`r(p)'
r; t=0.00 0:25:16

. 
. lincom _b[exe_aerobic_advice_m_cr3:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr2:1.praceethnicgp_multi_sim], 
> eform

 ( 1)  - [exe_aerobic_advice_m_cr2]1.praceethnicgp_multi_sim + [exe_aerobic_advice_m_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   4.340815   2.386179     2.67   0.008     1.477946    12.74923
------------------------------------------------------------------------------
r; t=0.03 0:25:16

. local aerobic_m_cr32_race1=`r(p)'
r; t=0.00 0:25:16

. 
. lincom _b[exe_aerobic_advice_m_cr3:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr2:3.praceethnicgp_multi_sim], 
> eform

 ( 1)  - [exe_aerobic_advice_m_cr2]3.praceethnicgp_multi_sim + [exe_aerobic_advice_m_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    .555838   .1668173    -1.96   0.050     .3086644    1.000944
------------------------------------------------------------------------------
r; t=0.03 0:25:16

. local aerobic_m_cr32_race3=`r(p)'
r; t=0.00 0:25:16

. 
. lincom _b[exe_aerobic_advice_m_cr3:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr2:4.praceethnicgp_multi_sim], 
> eform

 ( 1)  - [exe_aerobic_advice_m_cr2]4.praceethnicgp_multi_sim + [exe_aerobic_advice_m_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8464341   .1684262    -0.84   0.402     .5730837    1.250168
------------------------------------------------------------------------------
r; t=0.03 0:25:16

. local aerobic_m_cr32_race4=`r(p)'
r; t=0.00 0:25:16

. 
. 
. /*
> matrix Output=(aerobic_m_cr0_race0, aerobic_m_cr02_race0, aerobic_m_cr1_race0, aerobic_m_cr12_race0, aerobic_m_cr2_rac
> e0, aerobic_m_cr3_race0, aerobic_m_cr32_race0 \ ///
> aerobic_m_cr0_race1, aerobic_m_cr02_race1, aerobic_m_cr1_race1, aerobic_m_cr12_race1, aerobic_m_cr2_race1, aerobic_m_c
> r3_race1, aerobic_m_cr32_race1 \ ///
> aerobic_m_cr0_race3, aerobic_m_cr02_race3, aerobic_m_cr1_race3, aerobic_m_cr12_race3, aerobic_m_cr2_race3, aerobic_m_c
> r3_race3, aerobic_m_cr32_race3 \ ///
> aerobic_m_cr0_race4, aerobic_m_cr02_race4, aerobic_m_cr1_race4, aerobic_m_cr12_race4, aerobic_m_cr2_race4, aerobic_m_c
> r3_race4, aerobic_m_cr32_race4)
> matrix list Output
> */
. putexcel set "model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_m", replace
Note: file will be replaced when the first putexcel command is issued
r; t=0.01 0:25:16

. putexcel A1=("") B1=("Estimates in Eastern US") C1=("Wald test with corresponding Hawaii estimates (p-value)") D1=("Es
> timates in West coast") E1=("Wald test with corresponding Hawaii estimates (p-value)")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 0:25:16

. putexcel F1=("Estimates in Hawaii") G1=("Estimates in Guam") H1=("Wald test with corresponding Hawaii estimates (p-val
> ue)")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.03 0:25:16

. putexcel A2=("nHwhite (single) Odds ratio") A3=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 0:25:16

. putexcel A4=("nHwhite (multirace) Odds ratio") A5=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.03 0:25:16

. putexcel A6=("NHPI (multirace) Odds ratio") A7=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 0:25:16

. putexcel A8=("other racial/ethnic groups Odds ratio") A9=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.01 0:25:16

. putexcel A10=("No. of observations")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 0:25:16

. putexcel B2="`aerobic_m_cr0_race0_est'" B3="`aerobic_m_cr0_race0_se'" B4="`aerobic_m_cr0_race1_est'" B5="`aerobic_m_cr
> 0_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 0:25:16

. putexcel B6="`aerobic_m_cr0_race3_est'" B7="`aerobic_m_cr0_race3_se'" B8="`aerobic_m_cr0_race4_est'" B9="`aerobic_m_cr
> 0_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.03 0:25:16

. putexcel B10=`aerobic_m_cr0_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 0:25:16

. putexcel C2=`aerobic_m_cr02_race0' C4=`aerobic_m_cr02_race1' C6=`aerobic_m_cr02_race3' C8=`aerobic_m_cr02_race4', nfor
> mat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 0:25:16

. putexcel D2="`aerobic_m_cr1_race0_est'" D3="`aerobic_m_cr1_race0_se'" D4="`aerobic_m_cr1_race1_est'" D5="`aerobic_m_cr
> 1_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 0:25:16

. putexcel D6="`aerobic_m_cr1_race3_est'" D7="`aerobic_m_cr1_race3_se'" D8="`aerobic_m_cr1_race4_est'" D9="`aerobic_m_cr
> 1_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 0:25:16

. putexcel D10=`aerobic_m_cr1_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 0:25:16

. putexcel E2=`aerobic_m_cr12_race0' E4=`aerobic_m_cr12_race1' E6=`aerobic_m_cr12_race3' E8=`aerobic_m_cr12_race4', nfor
> mat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.03 0:25:17

. putexcel F2="`aerobic_m_cr2_race0_est'" F3="`aerobic_m_cr2_race0_se'" F4="`aerobic_m_cr2_race1_est'" F5="`aerobic_m_cr
> 2_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 0:25:17

. putexcel F6="`aerobic_m_cr2_race3_est'" F7="`aerobic_m_cr2_race3_se'" F8="`aerobic_m_cr2_race4_est'" F9="`aerobic_m_cr
> 2_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.03 0:25:17

. putexcel F10=`aerobic_m_cr2_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.03 0:25:17

. putexcel G2="`aerobic_m_cr3_race0_est'" G3="`aerobic_m_cr3_race0_se'" G4="`aerobic_m_cr3_race1_est'" G5="`aerobic_m_cr
> 3_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.03 0:25:17

. putexcel G6="`aerobic_m_cr3_race3_est'" G7="`aerobic_m_cr3_race3_se'" G8="`aerobic_m_cr3_race4_est'" G9="`aerobic_m_cr
> 3_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.03 0:25:17

. putexcel G10=`aerobic_m_cr3_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 0:25:17

. putexcel H2=`aerobic_m_cr32_race0' H4=`aerobic_m_cr32_race1' H6=`aerobic_m_cr32_race3' H8=`aerobic_m_cr32_race4', nfor
> mat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 0:25:17

. putexcel close
r; t=0.00 0:25:17

. 
. 
. 
. 
. 
. 
. *Meeting muscle strengthening recommendation among men in Eastern US
. lincom _b[exe_strength_advice_m_cr0:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr0]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7706873   .1158692    -1.73   0.083     .5739895    1.034791
------------------------------------------------------------------------------
r; t=0.04 0:25:17

. matrix strength_m_cr0_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:17

. local strength_m_cr0_race0_se="(" + string(strength_m_cr0_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:25:17

. local strength_m_cr0_race0_p=strength_m_cr0_race0[3,1]
r; t=0.00 0:25:17

. if `strength_m_cr0_race0_p'<0.001 {
.         local strength_m_cr0_race0_est=string(strength_m_cr0_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr0_race0_p'<0.01 {
.         local strength_m_cr0_race0_est=string(strength_m_cr0_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr0_race0_p'<0.05 {
.         local strength_m_cr0_race0_est=string(strength_m_cr0_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else {
.         local strength_m_cr0_race0_est=string(strength_m_cr0_race0[1,1], "%3.2f")
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. 
. 
. lincom _b[exe_strength_advice_m_cr0:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr0]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7992202   .1326448    -1.35   0.177     .5772903    1.106468
------------------------------------------------------------------------------
r; t=0.03 0:25:17

. matrix strength_m_cr0_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:17

. local strength_m_cr0_race1_se="(" + string(strength_m_cr0_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:25:17

. local strength_m_cr0_race1_p=strength_m_cr0_race1[3,1]
r; t=0.00 0:25:17

. if `strength_m_cr0_race1_p'<0.001 {
.         local strength_m_cr0_race1_est=string(strength_m_cr0_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr0_race1_p'<0.01 {
.         local strength_m_cr0_race1_est=string(strength_m_cr0_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr0_race1_p'<0.05 {
.         local strength_m_cr0_race1_est=string(strength_m_cr0_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else {
.         local strength_m_cr0_race1_est=string(strength_m_cr0_race1[1,1], "%3.2f")
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. 
. 
. lincom _b[exe_strength_advice_m_cr0:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr0]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.242441   .7696957     0.35   0.726     .3689381    4.184063
------------------------------------------------------------------------------
r; t=0.03 0:25:17

. matrix strength_m_cr0_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:17

. local strength_m_cr0_race3_se="(" + string(strength_m_cr0_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:25:17

. local strength_m_cr0_race3_p=strength_m_cr0_race3[3,1]
r; t=0.00 0:25:17

. if `strength_m_cr0_race3_p'<0.001 {
.         local strength_m_cr0_race3_est=string(strength_m_cr0_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr0_race3_p'<0.01 {
.         local strength_m_cr0_race3_est=string(strength_m_cr0_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr0_race3_p'<0.05 {
.         local strength_m_cr0_race3_est=string(strength_m_cr0_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else {
.         local strength_m_cr0_race3_est=string(strength_m_cr0_race3[1,1], "%3.2f")
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. 
. 
. lincom _b[exe_strength_advice_m_cr0:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr0]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8563863   .1293611    -1.03   0.305     .6369299    1.151457
------------------------------------------------------------------------------
r; t=0.04 0:25:17

. matrix strength_m_cr0_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:17

. local strength_m_cr0_race4_se="(" + string(strength_m_cr0_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:25:17

. local strength_m_cr0_race4_p=strength_m_cr0_race4[3,1]
r; t=0.00 0:25:17

. if `strength_m_cr0_race4_p'<0.001 {
.         local strength_m_cr0_race4_est=string(strength_m_cr0_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr0_race4_p'<0.01 {
.         local strength_m_cr0_race4_est=string(strength_m_cr0_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr0_race4_p'<0.05 {
.         local strength_m_cr0_race4_est=string(strength_m_cr0_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else {
.         local strength_m_cr0_race4_est=string(strength_m_cr0_race4[1,1], "%3.2f")
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. 
. 
. 
. 
. 
. 
. 
. 
. *Meeting muscle strengthening recommendation among men in Western US
. lincom _b[exe_strength_advice_m_cr1:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr1]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7533373   .1473345    -1.45   0.148     .5134698    1.105259
------------------------------------------------------------------------------
r; t=0.03 0:25:17

. matrix strength_m_cr1_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:17

. local strength_m_cr1_race0_se="(" + string(strength_m_cr1_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:25:17

. local strength_m_cr1_race0_p=strength_m_cr1_race0[3,1]
r; t=0.00 0:25:17

. if `strength_m_cr1_race0_p'<0.001 {
.         local strength_m_cr1_race0_est=string(strength_m_cr1_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr1_race0_p'<0.01 {
.         local strength_m_cr1_race0_est=string(strength_m_cr1_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr1_race0_p'<0.05 {
.         local strength_m_cr1_race0_est=string(strength_m_cr1_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else {
.         local strength_m_cr1_race0_est=string(strength_m_cr1_race0[1,1], "%3.2f")
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. 
. 
. lincom _b[exe_strength_advice_m_cr1:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr1]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9708534   .2269433    -0.13   0.899     .6140157    1.535069
------------------------------------------------------------------------------
r; t=0.03 0:25:17

. matrix strength_m_cr1_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:17

. local strength_m_cr1_race1_se="(" + string(strength_m_cr1_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:25:17

. local strength_m_cr1_race1_p=strength_m_cr1_race1[3,1]
r; t=0.00 0:25:17

. if `strength_m_cr1_race1_p'<0.001 {
.         local strength_m_cr1_race1_est=string(strength_m_cr1_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr1_race1_p'<0.01 {
.         local strength_m_cr1_race1_est=string(strength_m_cr1_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr1_race1_p'<0.05 {
.         local strength_m_cr1_race1_est=string(strength_m_cr1_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else {
.         local strength_m_cr1_race1_est=string(strength_m_cr1_race1[1,1], "%3.2f")
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. 
. 
. lincom _b[exe_strength_advice_m_cr1:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr1]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   2.216833   1.092584     1.62   0.106     .8437443     5.82445
------------------------------------------------------------------------------
r; t=0.03 0:25:17

. matrix strength_m_cr1_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:17

. local strength_m_cr1_race3_se="(" + string(strength_m_cr1_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:25:17

. local strength_m_cr1_race3_p=strength_m_cr1_race3[3,1]
r; t=0.00 0:25:17

. if `strength_m_cr1_race3_p'<0.001 {
.         local strength_m_cr1_race3_est=string(strength_m_cr1_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr1_race3_p'<0.01 {
.         local strength_m_cr1_race3_est=string(strength_m_cr1_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr1_race3_p'<0.05 {
.         local strength_m_cr1_race3_est=string(strength_m_cr1_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else {
.         local strength_m_cr1_race3_est=string(strength_m_cr1_race3[1,1], "%3.2f")
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. 
. 
. lincom _b[exe_strength_advice_m_cr1:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr1]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6851797   .1347991    -1.92   0.055     .4659538    1.007549
------------------------------------------------------------------------------
r; t=0.03 0:25:17

. matrix strength_m_cr1_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:17

. local strength_m_cr1_race4_se="(" + string(strength_m_cr1_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:25:17

. local strength_m_cr1_race4_p=strength_m_cr1_race4[3,1]
r; t=0.00 0:25:17

. if `strength_m_cr1_race4_p'<0.001 {
.         local strength_m_cr1_race4_est=string(strength_m_cr1_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr1_race4_p'<0.01 {
.         local strength_m_cr1_race4_est=string(strength_m_cr1_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr1_race4_p'<0.05 {
.         local strength_m_cr1_race4_est=string(strength_m_cr1_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else {
.         local strength_m_cr1_race4_est=string(strength_m_cr1_race4[1,1], "%3.2f")
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. 
. 
. 
. 
. 
. *Meeting muscle strengthening recommendation among men in Hawaii
. lincom _b[exe_strength_advice_m_cr2:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.018213   .1390604     0.13   0.895     .7790891     1.33073
------------------------------------------------------------------------------
r; t=0.03 0:25:17

. matrix strength_m_cr2_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:17

. local strength_m_cr2_race0_se="(" + string(strength_m_cr2_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:25:17

. local strength_m_cr2_race0_p=strength_m_cr2_race0[3,1]
r; t=0.00 0:25:17

. if `strength_m_cr2_race0_p'<0.001 {
.         local strength_m_cr2_race0_est=string(strength_m_cr2_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr2_race0_p'<0.01 {
.         local strength_m_cr2_race0_est=string(strength_m_cr2_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr2_race0_p'<0.05 {
.         local strength_m_cr2_race0_est=string(strength_m_cr2_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else {
.         local strength_m_cr2_race0_est=string(strength_m_cr2_race0[1,1], "%3.2f")
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. 
. 
. lincom _b[exe_strength_advice_m_cr2:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8643782   .1600217    -0.79   0.431     .6013416    1.242471
------------------------------------------------------------------------------
r; t=0.04 0:25:17

. matrix strength_m_cr2_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:17

. local strength_m_cr2_race1_se="(" + string(strength_m_cr2_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:25:17

. local strength_m_cr2_race1_p=strength_m_cr2_race1[3,1]
r; t=0.00 0:25:17

. if `strength_m_cr2_race1_p'<0.001 {
.         local strength_m_cr2_race1_est=string(strength_m_cr2_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr2_race1_p'<0.01 {
.         local strength_m_cr2_race1_est=string(strength_m_cr2_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr2_race1_p'<0.05 {
.         local strength_m_cr2_race1_est=string(strength_m_cr2_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else {
.         local strength_m_cr2_race1_est=string(strength_m_cr2_race1[1,1], "%3.2f")
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. 
. 
. lincom _b[exe_strength_advice_m_cr2:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9663249   .1519326    -0.22   0.828     .7100533     1.31509
------------------------------------------------------------------------------
r; t=0.03 0:25:17

. matrix strength_m_cr2_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:17

. local strength_m_cr2_race3_se="(" + string(strength_m_cr2_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:25:17

. local strength_m_cr2_race3_p=strength_m_cr2_race3[3,1]
r; t=0.00 0:25:17

. if `strength_m_cr2_race3_p'<0.001 {
.         local strength_m_cr2_race3_est=string(strength_m_cr2_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr2_race3_p'<0.01 {
.         local strength_m_cr2_race3_est=string(strength_m_cr2_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr2_race3_p'<0.05 {
.         local strength_m_cr2_race3_est=string(strength_m_cr2_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else {
.         local strength_m_cr2_race3_est=string(strength_m_cr2_race3[1,1], "%3.2f")
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. 
. 
. lincom _b[exe_strength_advice_m_cr2:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8029237   .1062917    -1.66   0.097     .6194288    1.040776
------------------------------------------------------------------------------
r; t=0.03 0:25:17

. matrix strength_m_cr2_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:17

. local strength_m_cr2_race4_se="(" + string(strength_m_cr2_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:25:17

. local strength_m_cr2_race4_p=strength_m_cr2_race4[3,1]
r; t=0.00 0:25:17

. if `strength_m_cr2_race4_p'<0.001 {
.         local strength_m_cr2_race4_est=string(strength_m_cr2_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr2_race4_p'<0.01 {
.         local strength_m_cr2_race4_est=string(strength_m_cr2_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr2_race4_p'<0.05 {
.         local strength_m_cr2_race4_est=string(strength_m_cr2_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else {
.         local strength_m_cr2_race4_est=string(strength_m_cr2_race4[1,1], "%3.2f")
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. 
. 
. 
. 
. 
. 
. *Meeting muscle strengthening recommendation among men in Guam
. lincom _b[exe_strength_advice_m_cr3:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.651341   .3244404     2.55   0.011      1.12357     2.42702
------------------------------------------------------------------------------
r; t=0.03 0:25:17

. matrix strength_m_cr3_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:17

. local strength_m_cr3_race0_se="(" + string(strength_m_cr3_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:25:17

. local strength_m_cr3_race0_p=strength_m_cr3_race0[3,1]
r; t=0.00 0:25:17

. if `strength_m_cr3_race0_p'<0.001 {
.         local strength_m_cr3_race0_est=string(strength_m_cr3_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr3_race0_p'<0.01 {
.         local strength_m_cr3_race0_est=string(strength_m_cr3_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr3_race0_p'<0.05 {
.         local strength_m_cr3_race0_est=string(strength_m_cr3_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else {
.         local strength_m_cr3_race0_est=string(strength_m_cr3_race0[1,1], "%3.2f")
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. 
. 
. lincom _b[exe_strength_advice_m_cr3:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.068211   .5520891     0.13   0.898     .3879049    2.941634
------------------------------------------------------------------------------
r; t=0.03 0:25:17

. matrix strength_m_cr3_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:17

. local strength_m_cr3_race1_se="(" + string(strength_m_cr3_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:25:17

. local strength_m_cr3_race1_p=strength_m_cr3_race1[3,1]
r; t=0.00 0:25:17

. if `strength_m_cr3_race1_p'<0.001 {
.         local strength_m_cr3_race1_est=string(strength_m_cr3_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr3_race1_p'<0.01 {
.         local strength_m_cr3_race1_est=string(strength_m_cr3_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr3_race1_p'<0.05 {
.         local strength_m_cr3_race1_est=string(strength_m_cr3_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else {
.         local strength_m_cr3_race1_est=string(strength_m_cr3_race1[1,1], "%3.2f")
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. 
. 
. 
. lincom _b[exe_strength_advice_m_cr3:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    1.27721   .3186957     0.98   0.327     .7831882    2.082853
------------------------------------------------------------------------------
r; t=0.03 0:25:17

. matrix strength_m_cr3_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:17

. local strength_m_cr3_race3_se="(" + string(strength_m_cr3_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:25:17

. local strength_m_cr3_race3_p=strength_m_cr3_race3[3,1]
r; t=0.00 0:25:17

. if `strength_m_cr3_race3_p'<0.001 {
.         local strength_m_cr3_race3_est=string(strength_m_cr3_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr3_race3_p'<0.01 {
.         local strength_m_cr3_race3_est=string(strength_m_cr3_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr3_race3_p'<0.05 {
.         local strength_m_cr3_race3_est=string(strength_m_cr3_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else {
.         local strength_m_cr3_race3_est=string(strength_m_cr3_race3[1,1], "%3.2f")
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. 
. 
. 
. lincom _b[exe_strength_advice_m_cr3:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.092194   .1671657     0.58   0.564     .8091314    1.474282
------------------------------------------------------------------------------
r; t=0.03 0:25:17

. matrix strength_m_cr3_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:17

. local strength_m_cr3_race4_se="(" + string(strength_m_cr3_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:25:17

. local strength_m_cr3_race4_p=strength_m_cr3_race4[3,1]
r; t=0.00 0:25:17

. if `strength_m_cr3_race4_p'<0.001 {
.         local strength_m_cr3_race4_est=string(strength_m_cr3_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr3_race4_p'<0.01 {
.         local strength_m_cr3_race4_est=string(strength_m_cr3_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else if `strength_m_cr3_race4_p'<0.05 {
.         local strength_m_cr3_race4_est=string(strength_m_cr3_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. else {
.         local strength_m_cr3_race4_est=string(strength_m_cr3_race4[1,1], "%3.2f")
r; t=0.00 0:25:17
. }
r; t=0.00 0:25:17

. 
. 
. 
. 
. *Test if the differences between NHPI and each racial/ethnic group between Guam and other census regions
. lincom _b[exe_strength_advice_m_cr0:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr3:0.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr0]0.praceethnicgp_multi_sim - [exe_strength_advice_m_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .4667039   .1154604    -3.08   0.002     .2873808     .757923
------------------------------------------------------------------------------
r; t=0.03 0:25:17

. local strength_m_cr03_race0=`r(p)'
r; t=0.00 0:25:17

. 
. lincom _b[exe_strength_advice_m_cr0:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr3:1.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr0]1.praceethnicgp_multi_sim - [exe_strength_advice_m_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7481859   .4061375    -0.53   0.593     .2581971    2.168042
------------------------------------------------------------------------------
r; t=0.03 0:25:17

. local strength_m_cr03_race1=`r(p)'
r; t=0.00 0:25:17

. 
. lincom _b[exe_strength_advice_m_cr0:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr3:3.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr0]3.praceethnicgp_multi_sim - [exe_strength_advice_m_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9727774   .6496859    -0.04   0.967     .2627383    3.601668
------------------------------------------------------------------------------
r; t=0.03 0:25:17

. local strength_m_cr03_race3=`r(p)'
r; t=0.00 0:25:17

. 
. lincom _b[exe_strength_advice_m_cr0:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr3:4.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr0]4.praceethnicgp_multi_sim - [exe_strength_advice_m_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7840972   .1686143    -1.13   0.258     .5144286    1.195129
------------------------------------------------------------------------------
r; t=0.03 0:25:17

. local strength_m_cr03_race4=`r(p)'
r; t=0.00 0:25:17

. 
. 
. lincom _b[exe_strength_advice_m_cr1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr3:0.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr1]0.praceethnicgp_multi_sim - [exe_strength_advice_m_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .4561973   .1264668    -2.83   0.005     .2649615    .7854575
------------------------------------------------------------------------------
r; t=0.03 0:25:17

. local strength_m_cr13_race0=`r(p)'
r; t=0.00 0:25:17

. 
. lincom _b[exe_strength_advice_m_cr1:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr3:1.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr1]1.praceethnicgp_multi_sim - [exe_strength_advice_m_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9088594   .5155411    -0.17   0.866     .2989928    2.762693
------------------------------------------------------------------------------
r; t=0.04 0:25:17

. local strength_m_cr13_race1=`r(p)'
r; t=0.00 0:25:17

. 
. lincom _b[exe_strength_advice_m_cr1:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr3:3.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr1]3.praceethnicgp_multi_sim - [exe_strength_advice_m_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.735683   .9588322     1.00   0.318     .5878225    5.125011
------------------------------------------------------------------------------
r; t=0.03 0:25:17

. local strength_m_cr13_race3=`r(p)'
r; t=0.00 0:25:17

. 
. lincom _b[exe_strength_advice_m_cr1:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr3:4.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr1]4.praceethnicgp_multi_sim - [exe_strength_advice_m_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6273425   .1563715    -1.87   0.061     .3848875    1.022529
------------------------------------------------------------------------------
r; t=0.03 0:25:17

. local strength_m_cr13_race4=`r(p)'
r; t=0.00 0:25:17

. 
. 
. lincom _b[exe_strength_advice_m_cr2:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr3:0.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr2]0.praceethnicgp_multi_sim - [exe_strength_advice_m_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6165974    .147537    -2.02   0.043     .3857708    .9855396
------------------------------------------------------------------------------
r; t=0.04 0:25:17

. local strength_m_cr23_race0=`r(p)'
r; t=0.00 0:25:17

. 
. lincom _b[exe_strength_advice_m_cr2:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr3:1.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr2]1.praceethnicgp_multi_sim - [exe_strength_advice_m_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8091831   .4442347    -0.39   0.700      .275895    2.373285
------------------------------------------------------------------------------
r; t=0.04 0:25:18

. local strength_m_cr23_race1=`r(p)'
r; t=0.00 0:25:18

. 
. lincom _b[exe_strength_advice_m_cr2:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr3:3.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr2]3.praceethnicgp_multi_sim - [exe_strength_advice_m_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7565903   .2231403    -0.95   0.344     .4244402    1.348668
------------------------------------------------------------------------------
r; t=0.04 0:25:18

. local strength_m_cr23_race3=`r(p)'
r; t=0.00 0:25:18

. 
. lincom _b[exe_strength_advice_m_cr2:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr3:4.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr2]4.praceethnicgp_multi_sim - [exe_strength_advice_m_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7351475   .1487661    -1.52   0.128     .4944509    1.093014
------------------------------------------------------------------------------
r; t=0.05 0:25:18

. local strength_m_cr23_race4=`r(p)'
r; t=0.00 0:25:18

. 
. 
. 
. *Store the number of observations in each model
. matrix `mname'_obs=e(_N)
r; t=0.00 0:25:18

. local strength_m_cr0_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_m_cr0")]
r; t=0.00 0:25:18

. local strength_m_cr1_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_m_cr1")]
r; t=0.00 0:25:18

. local strength_m_cr2_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_m_cr2")]
r; t=0.00 0:25:18

. local strength_m_cr3_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_m_cr3")]
r; t=0.00 0:25:18

. 
. 
. /*
> matrix Output=(strength_m_cr0_race0, strength_m_cr03_race0, strength_m_cr1_race0, strength_m_cr13_race0, strength_m_cr
> 2_race0, strength_m_cr23_race0, strength_m_cr3_race0 \ ///
> strength_m_cr0_race1, strength_m_cr03_race1, strength_m_cr1_race1, strength_m_cr13_race1, strength_m_cr2_race1, streng
> th_m_cr23_race1, strength_m_cr3_race1 \ ///
> strength_m_cr0_race3, strength_m_cr03_race3, strength_m_cr1_race3, strength_m_cr13_race3, strength_m_cr2_race3, streng
> th_m_cr23_race3, strength_m_cr3_race3 \ ///
> strength_m_cr0_race4, strength_m_cr03_race4, strength_m_cr1_race4, strength_m_cr13_race4, strength_m_cr2_race4, streng
> th_m_cr23_race4, strength_m_cr3_race4)
> matrix list Output
> */
. putexcel set "model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_m", replace
Note: file will be replaced when the first putexcel command is issued
r; t=0.00 0:25:18

. putexcel A1=("") B1=("Estimates in Eastern US") C1=("Wald test with corresponding Guam estimates (p-value)") D1=("Esti
> mates in West coast") E1=("Wald test with corresponding Guam estimates (p-value)")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:18

. putexcel F1=("Estimates in Hawaii") G1=("Wald test with corresponding Guam estimates (p-value)") H1=("Estimates in Gua
> m")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:18

. putexcel A2=("nHwhite (single) Odds ratio") A3=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.01 0:25:18

. putexcel A4=("nHwhite (multirace) Odds ratio") A5=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:18

. putexcel A6=("NHPI (multirace) Odds ratio") A7=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:18

. putexcel A8=("other racial/ethnic groups Odds ratio") A9=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:18

. putexcel A10=("No. of observations")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:18

. putexcel B2="`strength_m_cr0_race0_est'" B3="`strength_m_cr0_race0_se'" B4="`strength_m_cr0_race1_est'" B5="`strength_
> m_cr0_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:18

. putexcel B6="`strength_m_cr0_race3_est'" B7="`strength_m_cr0_race3_se'" B8="`strength_m_cr0_race4_est'" B9="`strength_
> m_cr0_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:18

. putexcel B10=`strength_m_cr0_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:18

. putexcel C2=`strength_m_cr03_race0' C4=`strength_m_cr03_race1' C6=`strength_m_cr03_race3' C8=`strength_m_cr03_race4', 
> nformat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.03 0:25:18

. putexcel D2="`strength_m_cr1_race0_est'" D3="`strength_m_cr1_race0_se'" D4="`strength_m_cr1_race1_est'" D5="`strength_
> m_cr1_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:18

. putexcel D6="`strength_m_cr1_race3_est'" D7="`strength_m_cr1_race3_se'" D8="`strength_m_cr1_race4_est'" D9="`strength_
> m_cr1_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:18

. putexcel D10=`strength_m_cr1_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:18

. putexcel E2=`strength_m_cr13_race0' E4=`strength_m_cr13_race1' E6=`strength_m_cr13_race3' E8=`strength_m_cr13_race4', 
> nformat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.03 0:25:18

. putexcel F2="`strength_m_cr2_race0_est'" F3="`strength_m_cr2_race0_se'" F4="`strength_m_cr2_race1_est'" F5="`strength_
> m_cr2_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:18

. putexcel F6="`strength_m_cr2_race3_est'" F7="`strength_m_cr2_race3_se'" F8="`strength_m_cr2_race4_est'" F9="`strength_
> m_cr2_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:18

. putexcel F10=`strength_m_cr2_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:18

. putexcel G2=`strength_m_cr23_race0' G4=`strength_m_cr23_race1' G6=`strength_m_cr23_race3' G8=`strength_m_cr23_race4', 
> nformat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:18

. putexcel H2="`strength_m_cr3_race0_est'" H3="`strength_m_cr3_race0_se'" H4="`strength_m_cr3_race1_est'" H5="`strength_
> m_cr3_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:18

. putexcel H6="`strength_m_cr3_race3_est'" H7="`strength_m_cr3_race3_se'" H8="`strength_m_cr3_race4_est'" H9="`strength_
> m_cr3_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.03 0:25:18

. putexcel H10=`strength_m_cr3_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 0:25:18

. putexcel close
r; t=0.00 0:25:18

. 
. 
. 
. 
. 
. 
. *Test if the differences between NHPI and each racial/ethnic group between Hawaii and other census regions
. lincom _b[exe_strength_advice_m_cr0:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr2:0.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr0]0.praceethnicgp_multi_sim - [exe_strength_advice_m_cr2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7569021   .1537385    -1.37   0.170     .5083318    1.127021
------------------------------------------------------------------------------
r; t=0.03 0:25:18

. local strength_m_cr02_race0=`r(p)'
r; t=0.00 0:25:18

. 
. lincom _b[exe_strength_advice_m_cr0:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr2:1.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr0]1.praceethnicgp_multi_sim - [exe_strength_advice_m_cr2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9246187   .2298903    -0.32   0.753     .5679707    1.505218
------------------------------------------------------------------------------
r; t=0.04 0:25:18

. local strength_m_cr02_race1=`r(p)'
r; t=0.00 0:25:18

. 
. lincom _b[exe_strength_advice_m_cr0:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr2:3.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr0]3.praceethnicgp_multi_sim - [exe_strength_advice_m_cr2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.285739   .8217711     0.39   0.694     .3673773    4.499799
------------------------------------------------------------------------------
r; t=0.05 0:25:18

. local strength_m_cr02_race3=`r(p)'
r; t=0.00 0:25:18

. 
. lincom _b[exe_strength_advice_m_cr0:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr2:4.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr0]4.praceethnicgp_multi_sim - [exe_strength_advice_m_cr2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.066585   .2142275     0.32   0.748     .7194959    1.581112
------------------------------------------------------------------------------
r; t=0.05 0:25:18

. local strength_m_cr02_race4=`r(p)'
r; t=0.00 0:25:18

. 
. 
. lincom _b[exe_strength_advice_m_cr1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr2:0.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr1]0.praceethnicgp_multi_sim - [exe_strength_advice_m_cr2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7398624   .1764879    -1.26   0.207     .4635577    1.180859
------------------------------------------------------------------------------
r; t=0.04 0:25:18

. local strength_m_cr12_race0=`r(p)'
r; t=0.00 0:25:18

. 
. lincom _b[exe_strength_advice_m_cr1:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr2:1.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr1]1.praceethnicgp_multi_sim - [exe_strength_advice_m_cr2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.123181   .3349171     0.39   0.697     .6260846    2.014961
------------------------------------------------------------------------------
r; t=0.04 0:25:18

. local strength_m_cr12_race1=`r(p)'
r; t=0.00 0:25:18

. 
. lincom _b[exe_strength_advice_m_cr1:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr2:3.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr1]3.praceethnicgp_multi_sim - [exe_strength_advice_m_cr2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   2.294086   1.186798     1.61   0.108     .8322577     6.32356
------------------------------------------------------------------------------
r; t=0.04 0:25:18

. local strength_m_cr12_race3=`r(p)'
r; t=0.00 0:25:18

. 
. lincom _b[exe_strength_advice_m_cr1:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr2:4.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr1]4.praceethnicgp_multi_sim - [exe_strength_advice_m_cr2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    .853356   .2023542    -0.67   0.504     .5361504    1.358232
------------------------------------------------------------------------------
r; t=0.03 0:25:18

. local strength_m_cr12_race4=`r(p)'
r; t=0.00 0:25:18

. 
. 
. lincom _b[exe_strength_advice_m_cr3:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr2:0.praceethnicgp_multi_sim]
> , eform

 ( 1)  - [exe_strength_advice_m_cr2]0.praceethnicgp_multi_sim + [exe_strength_advice_m_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.621804   .3880587     2.02   0.043     1.014673    2.592213
------------------------------------------------------------------------------
r; t=0.03 0:25:18

. local strength_m_cr32_race0=`r(p)'
r; t=0.00 0:25:18

. 
. lincom _b[exe_strength_advice_m_cr3:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr2:1.praceethnicgp_multi_sim]
> , eform

 ( 1)  - [exe_strength_advice_m_cr2]1.praceethnicgp_multi_sim + [exe_strength_advice_m_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.235814   .6784515     0.39   0.700     .4213569    3.624567
------------------------------------------------------------------------------
r; t=0.03 0:25:18

. local strength_m_cr32_race1=`r(p)'
r; t=0.00 0:25:18

. 
. lincom _b[exe_strength_advice_m_cr3:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr2:3.praceethnicgp_multi_sim]
> , eform

 ( 1)  - [exe_strength_advice_m_cr2]3.praceethnicgp_multi_sim + [exe_strength_advice_m_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.321719   .3898132     0.95   0.344     .7414723    2.356044
------------------------------------------------------------------------------
r; t=0.04 0:25:18

. local strength_m_cr32_race3=`r(p)'
r; t=0.00 0:25:18

. 
. lincom _b[exe_strength_advice_m_cr3:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr2:4.praceethnicgp_multi_sim]
> , eform

 ( 1)  - [exe_strength_advice_m_cr2]4.praceethnicgp_multi_sim + [exe_strength_advice_m_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.360271   .2752676     1.52   0.128     .9149012    2.022446
------------------------------------------------------------------------------
r; t=0.03 0:25:19

. local strength_m_cr32_race4=`r(p)'
r; t=0.00 0:25:19

. 
. 
. /*
> matrix Output=(strength_m_cr0_race0, strength_m_cr02_race0, strength_m_cr1_race0, strength_m_cr12_race0, strength_m_cr
> 2_race0, strength_m_cr3_race0, strength_m_cr32_race0 \ ///
> strength_m_cr0_race1, strength_m_cr02_race1, strength_m_cr1_race1, strength_m_cr12_race1, strength_m_cr2_race1, streng
> th_m_cr3_race1, strength_m_cr32_race1 \ ///
> strength_m_cr0_race3, strength_m_cr02_race3, strength_m_cr1_race3, strength_m_cr12_race3, strength_m_cr2_race3, streng
> th_m_cr3_race3, strength_m_cr32_race3 \ ///
> strength_m_cr0_race4, strength_m_cr02_race4, strength_m_cr1_race4, strength_m_cr12_race4, strength_m_cr2_race4, streng
> th_m_cr3_race4, strength_m_cr32_race4)
> matrix list Output
> */
. putexcel set "model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_m", replace
Note: file will be replaced when the first putexcel command is issued
r; t=0.00 0:25:19

. putexcel A1=("") B1=("Estimates in Eastern US") C1=("Wald test with corresponding Hawaii estimates (p-value)") D1=("Es
> timates in West coast") E1=("Wald test with corresponding Hawaii estimates (p-value)")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.02 0:25:19

. putexcel F1=("Estimates in Hawaii") G1=("Estimates in Guam") H1=("Wald test with corresponding Hawaii estimates (p-val
> ue)")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.01 0:25:19

. putexcel A2=("nHwhite (single) Odds ratio") A3=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.03 0:25:19

. putexcel A4=("nHwhite (multirace) Odds ratio") A5=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.02 0:25:19

. putexcel A6=("NHPI (multirace) Odds ratio") A7=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.02 0:25:19

. putexcel A8=("other racial/ethnic groups Odds ratio") A9=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.02 0:25:19

. putexcel A10=("No. of observations")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.02 0:25:19

. putexcel B2="`strength_m_cr0_race0_est'" B3="`strength_m_cr0_race0_se'" B4="`strength_m_cr0_race1_est'" B5="`strength_
> m_cr0_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.01 0:25:19

. putexcel B6="`strength_m_cr0_race3_est'" B7="`strength_m_cr0_race3_se'" B8="`strength_m_cr0_race4_est'" B9="`strength_
> m_cr0_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.04 0:25:19

. putexcel B10=`strength_m_cr0_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.02 0:25:19

. putexcel C2=`strength_m_cr02_race0' C4=`strength_m_cr02_race1' C6=`strength_m_cr02_race3' C8=`strength_m_cr02_race4', 
> nformat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.04 0:25:19

. putexcel D2="`strength_m_cr1_race0_est'" D3="`strength_m_cr1_race0_se'" D4="`strength_m_cr1_race1_est'" D5="`strength_
> m_cr1_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.02 0:25:19

. putexcel D6="`strength_m_cr1_race3_est'" D7="`strength_m_cr1_race3_se'" D8="`strength_m_cr1_race4_est'" D9="`strength_
> m_cr1_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.04 0:25:19

. putexcel D10=`strength_m_cr1_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.02 0:25:19

. putexcel E2=`strength_m_cr12_race0' E4=`strength_m_cr12_race1' E6=`strength_m_cr12_race3' E8=`strength_m_cr12_race4', 
> nformat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.04 0:25:19

. putexcel F2="`strength_m_cr2_race0_est'" F3="`strength_m_cr2_race0_se'" F4="`strength_m_cr2_race1_est'" F5="`strength_
> m_cr2_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.02 0:25:19

. putexcel F6="`strength_m_cr2_race3_est'" F7="`strength_m_cr2_race3_se'" F8="`strength_m_cr2_race4_est'" F9="`strength_
> m_cr2_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.03 0:25:19

. putexcel F10=`strength_m_cr2_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.04 0:25:19

. putexcel G2="`strength_m_cr3_race0_est'" G3="`strength_m_cr3_race0_se'" G4="`strength_m_cr3_race1_est'" G5="`strength_
> m_cr3_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.04 0:25:19

. putexcel G6="`strength_m_cr3_race3_est'" G7="`strength_m_cr3_race3_se'" G8="`strength_m_cr3_race4_est'" G9="`strength_
> m_cr3_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.04 0:25:19

. putexcel G10=`strength_m_cr3_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.04 0:25:19

. putexcel H2=`strength_m_cr32_race0' H4=`strength_m_cr32_race1' H6=`strength_m_cr32_race3' H8=`strength_m_cr32_race4', 
> nformat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.05 0:25:19

. putexcel close
r; t=0.01 0:25:19

. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. *Meeting aerobic exercise recommendation among women in Eastern US
. lincom _b[exe_aerobic_advice_f_cr0:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr0]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.971703   .3184835     4.20   0.000     1.436644    2.706037
------------------------------------------------------------------------------
r; t=0.09 0:25:19

. matrix aerobic_f_cr0_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:19

. local aerobic_f_cr0_race0_se="(" + string(aerobic_f_cr0_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:25:19

. local aerobic_f_cr0_race0_p=aerobic_f_cr0_race0[3,1]
r; t=0.00 0:25:19

. if `aerobic_f_cr0_race0_p'<0.001 {
.         local aerobic_f_cr0_race0_est=string(aerobic_f_cr0_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:25:19
. }
r; t=0.00 0:25:19

. else if `aerobic_f_cr0_race0_p'<0.01 {
.         local aerobic_f_cr0_race0_est=string(aerobic_f_cr0_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:25:19
. }
r; t=0.00 0:25:19

. else if `aerobic_f_cr0_race0_p'<0.05 {
.         local aerobic_f_cr0_race0_est=string(aerobic_f_cr0_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:25:19
. }
r; t=0.00 0:25:19

. else {
.         local aerobic_f_cr0_race0_est=string(aerobic_f_cr0_race0[1,1], "%3.2f")
r; t=0.00 0:25:19
. }
r; t=0.00 0:25:19

. 
. 
. lincom _b[exe_aerobic_advice_f_cr0:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr0]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.961688   .3470407     3.81   0.000     1.386897    2.774697
------------------------------------------------------------------------------
r; t=0.08 0:25:19

. matrix aerobic_f_cr0_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:19

. local aerobic_f_cr0_race1_se="(" + string(aerobic_f_cr0_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:25:19

. local aerobic_f_cr0_race1_p=aerobic_f_cr0_race1[3,1]
r; t=0.00 0:25:19

. if `aerobic_f_cr0_race1_p'<0.001 {
.         local aerobic_f_cr0_race1_est=string(aerobic_f_cr0_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:25:19
. }
r; t=0.00 0:25:19

. else if `aerobic_f_cr0_race1_p'<0.01 {
.         local aerobic_f_cr0_race1_est=string(aerobic_f_cr0_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:25:19
. }
r; t=0.00 0:25:19

. else if `aerobic_f_cr0_race1_p'<0.05 {
.         local aerobic_f_cr0_race1_est=string(aerobic_f_cr0_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:25:19
. }
r; t=0.00 0:25:19

. else {
.         local aerobic_f_cr0_race1_est=string(aerobic_f_cr0_race1[1,1], "%3.2f")
r; t=0.00 0:25:19
. }
r; t=0.00 0:25:19

. 
. 
. lincom _b[exe_aerobic_advice_f_cr0:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr0]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   2.698384   1.504222     1.78   0.075     .9048956    8.046539
------------------------------------------------------------------------------
r; t=0.05 0:25:19

. matrix aerobic_f_cr0_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:19

. local aerobic_f_cr0_race3_se="(" + string(aerobic_f_cr0_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:25:19

. local aerobic_f_cr0_race3_p=aerobic_f_cr0_race3[3,1]
r; t=0.00 0:25:19

. if `aerobic_f_cr0_race3_p'<0.001 {
.         local aerobic_f_cr0_race3_est=string(aerobic_f_cr0_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:25:19
. }
r; t=0.00 0:25:19

. else if `aerobic_f_cr0_race3_p'<0.01 {
.         local aerobic_f_cr0_race3_est=string(aerobic_f_cr0_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:25:19
. }
r; t=0.00 0:25:19

. else if `aerobic_f_cr0_race3_p'<0.05 {
.         local aerobic_f_cr0_race3_est=string(aerobic_f_cr0_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:25:19
. }
r; t=0.00 0:25:19

. else {
.         local aerobic_f_cr0_race3_est=string(aerobic_f_cr0_race3[1,1], "%3.2f")
r; t=0.00 0:25:19
. }
r; t=0.00 0:25:19

. 
. 
. lincom _b[exe_aerobic_advice_f_cr0:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr0]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    1.32043   .2138797     1.72   0.086     .9612573    1.813806
------------------------------------------------------------------------------
r; t=0.41 0:25:20

. matrix aerobic_f_cr0_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:20

. local aerobic_f_cr0_race4_se="(" + string(aerobic_f_cr0_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:25:20

. local aerobic_f_cr0_race4_p=aerobic_f_cr0_race4[3,1]
r; t=0.00 0:25:20

. if `aerobic_f_cr0_race4_p'<0.001 {
.         local aerobic_f_cr0_race4_est=string(aerobic_f_cr0_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr0_race4_p'<0.01 {
.         local aerobic_f_cr0_race4_est=string(aerobic_f_cr0_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr0_race4_p'<0.05 {
.         local aerobic_f_cr0_race4_est=string(aerobic_f_cr0_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else {
.         local aerobic_f_cr0_race4_est=string(aerobic_f_cr0_race4[1,1], "%3.2f")
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. 
. 
. 
. 
. 
. *Meeting aerobic exercise recommendation among women in Western US
. lincom _b[exe_aerobic_advice_f_cr1:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr1]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.299201   .2399975     1.42   0.156     .9045576    1.866021
------------------------------------------------------------------------------
r; t=0.04 0:25:20

. matrix aerobic_f_cr1_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:20

. local aerobic_f_cr1_race0_se="(" + string(aerobic_f_cr1_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:25:20

. local aerobic_f_cr1_race0_p=aerobic_f_cr1_race0[3,1]
r; t=0.00 0:25:20

. if `aerobic_f_cr1_race0_p'<0.001 {
.         local aerobic_f_cr1_race0_est=string(aerobic_f_cr1_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr1_race0_p'<0.01 {
.         local aerobic_f_cr1_race0_est=string(aerobic_f_cr1_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr1_race0_p'<0.05 {
.         local aerobic_f_cr1_race0_est=string(aerobic_f_cr1_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else {
.         local aerobic_f_cr1_race0_est=string(aerobic_f_cr1_race0[1,1], "%3.2f")
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. 
. 
. lincom _b[exe_aerobic_advice_f_cr1:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr1]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.287741   .2797493     1.16   0.244     .8412266    1.971261
------------------------------------------------------------------------------
r; t=0.04 0:25:20

. matrix aerobic_f_cr1_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:20

. local aerobic_f_cr1_race1_se="(" + string(aerobic_f_cr1_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:25:20

. local aerobic_f_cr1_race1_p=aerobic_f_cr1_race1[3,1]
r; t=0.00 0:25:20

. if `aerobic_f_cr1_race1_p'<0.001 {
.         local aerobic_f_cr1_race1_est=string(aerobic_f_cr1_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr1_race1_p'<0.01 {
.         local aerobic_f_cr1_race1_est=string(aerobic_f_cr1_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr1_race1_p'<0.05 {
.         local aerobic_f_cr1_race1_est=string(aerobic_f_cr1_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else {
.         local aerobic_f_cr1_race1_est=string(aerobic_f_cr1_race1[1,1], "%3.2f")
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. 
. 
. lincom _b[exe_aerobic_advice_f_cr1:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr1]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8152095   .4785415    -0.35   0.728     .2579878    2.575961
------------------------------------------------------------------------------
r; t=0.04 0:25:20

. matrix aerobic_f_cr1_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:20

. local aerobic_f_cr1_race3_se="(" + string(aerobic_f_cr1_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:25:20

. local aerobic_f_cr1_race3_p=aerobic_f_cr1_race3[3,1]
r; t=0.00 0:25:20

. if `aerobic_f_cr1_race3_p'<0.001 {
.         local aerobic_f_cr1_race3_est=string(aerobic_f_cr1_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr1_race3_p'<0.01 {
.         local aerobic_f_cr1_race3_est=string(aerobic_f_cr1_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr1_race3_p'<0.05 {
.         local aerobic_f_cr1_race3_est=string(aerobic_f_cr1_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else {
.         local aerobic_f_cr1_race3_est=string(aerobic_f_cr1_race3[1,1], "%3.2f")
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. 
. 
. lincom _b[exe_aerobic_advice_f_cr1:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr1]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8631355   .1604217    -0.79   0.428     .5996186    1.242461
------------------------------------------------------------------------------
r; t=0.06 0:25:20

. matrix aerobic_f_cr1_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:20

. local aerobic_f_cr1_race4_se="(" + string(aerobic_f_cr1_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:25:20

. local aerobic_f_cr1_race4_p=aerobic_f_cr1_race4[3,1]
r; t=0.00 0:25:20

. if `aerobic_f_cr1_race4_p'<0.001 {
.         local aerobic_f_cr1_race4_est=string(aerobic_f_cr1_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr1_race4_p'<0.01 {
.         local aerobic_f_cr1_race4_est=string(aerobic_f_cr1_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr1_race4_p'<0.05 {
.         local aerobic_f_cr1_race4_est=string(aerobic_f_cr1_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else {
.         local aerobic_f_cr1_race4_est=string(aerobic_f_cr1_race4[1,1], "%3.2f")
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. 
. 
. 
. 
. 
. 
. *Meeting aerobic exercise recommendation among women in Hawaii
. lincom _b[exe_aerobic_advice_f_cr2:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.670434   .2141427     4.00   0.000     1.299298    2.147583
------------------------------------------------------------------------------
r; t=0.03 0:25:20

. matrix aerobic_f_cr2_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:20

. local aerobic_f_cr2_race0_se="(" + string(aerobic_f_cr2_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:25:20

. local aerobic_f_cr2_race0_p=aerobic_f_cr2_race0[3,1]
r; t=0.00 0:25:20

. if `aerobic_f_cr2_race0_p'<0.001 {
.         local aerobic_f_cr2_race0_est=string(aerobic_f_cr2_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr2_race0_p'<0.01 {
.         local aerobic_f_cr2_race0_est=string(aerobic_f_cr2_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr2_race0_p'<0.05 {
.         local aerobic_f_cr2_race0_est=string(aerobic_f_cr2_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else {
.         local aerobic_f_cr2_race0_est=string(aerobic_f_cr2_race0[1,1], "%3.2f")
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. 
. 
. lincom _b[exe_aerobic_advice_f_cr2:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    1.23197   .2043848     1.26   0.209     .8899894    1.705357
------------------------------------------------------------------------------
r; t=0.04 0:25:20

. matrix aerobic_f_cr2_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:20

. local aerobic_f_cr2_race1_se="(" + string(aerobic_f_cr2_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:25:20

. local aerobic_f_cr2_race1_p=aerobic_f_cr2_race1[3,1]
r; t=0.00 0:25:20

. if `aerobic_f_cr2_race1_p'<0.001 {
.         local aerobic_f_cr2_race1_est=string(aerobic_f_cr2_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr2_race1_p'<0.01 {
.         local aerobic_f_cr2_race1_est=string(aerobic_f_cr2_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr2_race1_p'<0.05 {
.         local aerobic_f_cr2_race1_est=string(aerobic_f_cr2_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else {
.         local aerobic_f_cr2_race1_est=string(aerobic_f_cr2_race1[1,1], "%3.2f")
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. 
. 
. lincom _b[exe_aerobic_advice_f_cr2:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9735664   .1387295    -0.19   0.851     .7363299    1.287238
------------------------------------------------------------------------------
r; t=0.03 0:25:20

. matrix aerobic_f_cr2_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:20

. local aerobic_f_cr2_race3_se="(" + string(aerobic_f_cr2_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:25:20

. local aerobic_f_cr2_race3_p=aerobic_f_cr2_race3[3,1]
r; t=0.00 0:25:20

. if `aerobic_f_cr2_race3_p'<0.001 {
.         local aerobic_f_cr2_race3_est=string(aerobic_f_cr2_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr2_race3_p'<0.01 {
.         local aerobic_f_cr2_race3_est=string(aerobic_f_cr2_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr2_race3_p'<0.05 {
.         local aerobic_f_cr2_race3_est=string(aerobic_f_cr2_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else {
.         local aerobic_f_cr2_race3_est=string(aerobic_f_cr2_race3[1,1], "%3.2f")
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. 
. 
. lincom _b[exe_aerobic_advice_f_cr2:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8816662   .1090675    -1.02   0.309     .6918393    1.123578
------------------------------------------------------------------------------
r; t=0.04 0:25:20

. matrix aerobic_f_cr2_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:20

. local aerobic_f_cr2_race4_se="(" + string(aerobic_f_cr2_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:25:20

. local aerobic_f_cr2_race4_p=aerobic_f_cr2_race4[3,1]
r; t=0.00 0:25:20

. if `aerobic_f_cr2_race4_p'<0.001 {
.         local aerobic_f_cr2_race4_est=string(aerobic_f_cr2_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr2_race4_p'<0.01 {
.         local aerobic_f_cr2_race4_est=string(aerobic_f_cr2_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr2_race4_p'<0.05 {
.         local aerobic_f_cr2_race4_est=string(aerobic_f_cr2_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else {
.         local aerobic_f_cr2_race4_est=string(aerobic_f_cr2_race4[1,1], "%3.2f")
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. 
. 
. 
. 
. 
. 
. *Meeting aerobic exercise recommendation among women in Guam
. lincom _b[exe_aerobic_advice_f_cr3:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   2.235601   .4821172     3.73   0.000     1.464969    3.411614
------------------------------------------------------------------------------
r; t=0.04 0:25:20

. matrix aerobic_f_cr3_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:20

. local aerobic_f_cr3_race0_se="(" + string(aerobic_f_cr3_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:25:20

. local aerobic_f_cr3_race0_p=aerobic_f_cr3_race0[3,1]
r; t=0.00 0:25:20

. if `aerobic_f_cr3_race0_p'<0.001 {
.         local aerobic_f_cr3_race0_est=string(aerobic_f_cr3_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr3_race0_p'<0.01 {
.         local aerobic_f_cr3_race0_est=string(aerobic_f_cr3_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr3_race0_p'<0.05 {
.         local aerobic_f_cr3_race0_est=string(aerobic_f_cr3_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else {
.         local aerobic_f_cr3_race0_est=string(aerobic_f_cr3_race0[1,1], "%3.2f")
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. 
. 
. lincom _b[exe_aerobic_advice_f_cr3:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.675585   .5782739     1.50   0.135     .8519251    3.295577
------------------------------------------------------------------------------
r; t=0.03 0:25:20

. matrix aerobic_f_cr3_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:20

. local aerobic_f_cr3_race1_se="(" + string(aerobic_f_cr3_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:25:20

. local aerobic_f_cr3_race1_p=aerobic_f_cr3_race1[3,1]
r; t=0.00 0:25:20

. if `aerobic_f_cr3_race1_p'<0.001 {
.         local aerobic_f_cr3_race1_est=string(aerobic_f_cr3_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr3_race1_p'<0.01 {
.         local aerobic_f_cr3_race1_est=string(aerobic_f_cr3_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr3_race1_p'<0.05 {
.         local aerobic_f_cr3_race1_est=string(aerobic_f_cr3_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else {
.         local aerobic_f_cr3_race1_est=string(aerobic_f_cr3_race1[1,1], "%3.2f")
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. 
. 
. lincom _b[exe_aerobic_advice_f_cr3:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.405593   .3012243     1.59   0.112     .9235142    2.139321
------------------------------------------------------------------------------
r; t=0.03 0:25:20

. matrix aerobic_f_cr3_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:20

. local aerobic_f_cr3_race3_se="(" + string(aerobic_f_cr3_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:25:20

. local aerobic_f_cr3_race3_p=aerobic_f_cr3_race3[3,1]
r; t=0.00 0:25:20

. if `aerobic_f_cr3_race3_p'<0.001 {
.         local aerobic_f_cr3_race3_est=string(aerobic_f_cr3_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr3_race3_p'<0.01 {
.         local aerobic_f_cr3_race3_est=string(aerobic_f_cr3_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr3_race3_p'<0.05 {
.         local aerobic_f_cr3_race3_est=string(aerobic_f_cr3_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else {
.         local aerobic_f_cr3_race3_est=string(aerobic_f_cr3_race3[1,1], "%3.2f")
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. 
. 
. 
. lincom _b[exe_aerobic_advice_f_cr3:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    1.14402   .1586611     0.97   0.332     .8717317     1.50136
------------------------------------------------------------------------------
r; t=0.03 0:25:20

. matrix aerobic_f_cr3_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:20

. local aerobic_f_cr3_race4_se="(" + string(aerobic_f_cr3_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:25:20

. local aerobic_f_cr3_race4_p=aerobic_f_cr3_race4[3,1]
r; t=0.00 0:25:20

. if `aerobic_f_cr3_race4_p'<0.001 {
.         local aerobic_f_cr3_race4_est=string(aerobic_f_cr3_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr3_race4_p'<0.01 {
.         local aerobic_f_cr3_race4_est=string(aerobic_f_cr3_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else if `aerobic_f_cr3_race4_p'<0.05 {
.         local aerobic_f_cr3_race4_est=string(aerobic_f_cr3_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. else {
.         local aerobic_f_cr3_race4_est=string(aerobic_f_cr3_race4[1,1], "%3.2f")
r; t=0.00 0:25:20
. }
r; t=0.00 0:25:20

. 
. 
. 
. *Test if the differences between NHPI and each racial/ethnic group between Guam and other census regions
. lincom _b[exe_aerobic_advice_f_cr0:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr3:0.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr0]0.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8819566   .2376343    -0.47   0.641     .5201149     1.49553
------------------------------------------------------------------------------
r; t=0.03 0:25:20

. local aerobic_f_cr03_race0=`r(p)'
r; t=0.00 0:25:20

. 
. lincom _b[exe_aerobic_advice_f_cr0:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr3:1.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr0]1.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.170748   .4540375     0.41   0.684     .5474587     2.50366
------------------------------------------------------------------------------
r; t=0.03 0:25:20

. local aerobic_f_cr03_race1=`r(p)'
r; t=0.00 0:25:20

. 
. lincom _b[exe_aerobic_advice_f_cr0:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr3:3.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr0]3.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.919747   1.146525     1.09   0.275     .5955018    6.188781
------------------------------------------------------------------------------
r; t=0.04 0:25:20

. local aerobic_f_cr03_race3=`r(p)'
r; t=0.00 0:25:20

. 
. lincom _b[exe_aerobic_advice_f_cr0:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr3:4.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr0]4.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.154201   .2461206     0.67   0.501     .7599271    1.753037
------------------------------------------------------------------------------
r; t=0.04 0:25:20

. local aerobic_f_cr03_race4=`r(p)'
r; t=0.00 0:25:20

. 
. 
. lincom _b[exe_aerobic_advice_f_cr1:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr3:0.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr1]0.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .5811418   .1650186    -1.91   0.056     .3331027    1.013879
------------------------------------------------------------------------------
r; t=0.04 0:25:20

. local aerobic_f_cr13_race0=`r(p)'
r; t=0.00 0:25:20

. 
. lincom _b[exe_aerobic_advice_f_cr1:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr3:1.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr1]1.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7685322   .3134062    -0.65   0.519     .3455755    1.709154
------------------------------------------------------------------------------
r; t=0.04 0:25:20

. local aerobic_f_cr13_race1=`r(p)'
r; t=0.00 0:25:20

. 
. lincom _b[exe_aerobic_advice_f_cr1:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr3:3.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr1]3.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .5799753   .3624334    -0.87   0.383     .1704053     1.97395
------------------------------------------------------------------------------
r; t=0.04 0:25:21

. local aerobic_f_cr13_race3=`r(p)'
r; t=0.00 0:25:21

. 
. lincom _b[exe_aerobic_advice_f_cr1:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr3:4.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr1]4.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7544755   .1749632    -1.21   0.224     .4789067     1.18861
------------------------------------------------------------------------------
r; t=0.04 0:25:21

. local aerobic_f_cr13_race4=`r(p)'
r; t=0.00 0:25:21

. 
. 
. lincom _b[exe_aerobic_advice_f_cr2:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr3:0.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr2]0.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7471971   .1874572    -1.16   0.245     .4569672    1.221758
------------------------------------------------------------------------------
r; t=0.05 0:25:21

. local aerobic_f_cr23_race0=`r(p)'
r; t=0.00 0:25:21

. 
. lincom _b[exe_aerobic_advice_f_cr2:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr3:1.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr2]1.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7352476   .2815425    -0.80   0.422     .3471278     1.55732
------------------------------------------------------------------------------
r; t=0.05 0:25:21

. local aerobic_f_cr23_race1=`r(p)'
r; t=0.00 0:25:21

. 
. lincom _b[exe_aerobic_advice_f_cr2:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr3:3.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr2]3.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6926373   .1782534    -1.43   0.154     .4182587    1.147009
------------------------------------------------------------------------------
r; t=0.03 0:25:21

. local aerobic_f_cr23_race3=`r(p)'
r; t=0.00 0:25:21

. 
. lincom _b[exe_aerobic_advice_f_cr2:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr3:4.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr2]4.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7706734   .1432237    -1.40   0.161     .5354031    1.109328
------------------------------------------------------------------------------
r; t=0.05 0:25:21

. local aerobic_f_cr23_race4=`r(p)'
r; t=0.00 0:25:21

. 
. 
. 
. 
. *Store the number of observations in each model
. matrix `mname'_obs=e(_N)
r; t=0.00 0:25:21

. local aerobic_f_cr0_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_f_cr0")]
r; t=0.00 0:25:21

. local aerobic_f_cr1_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_f_cr1")]
r; t=0.00 0:25:21

. local aerobic_f_cr2_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_f_cr2")]
r; t=0.00 0:25:21

. local aerobic_f_cr3_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_f_cr3")]
r; t=0.00 0:25:21

. 
. /*
> matrix Output=(aerobic_f_cr0_race0, aerobic_f_cr03_race0, aerobic_f_cr1_race0, aerobic_f_cr13_race0, aerobic_f_cr2_rac
> e0, aerobic_f_cr23_race0, aerobic_f_cr3_race0 \ ///
> aerobic_f_cr0_race1, aerobic_f_cr03_race1, aerobic_f_cr1_race1, aerobic_f_cr13_race1, aerobic_f_cr2_race1, aerobic_f_c
> r23_race1, aerobic_f_cr3_race1 \ ///
> aerobic_f_cr0_race3, aerobic_f_cr03_race3, aerobic_f_cr1_race3, aerobic_f_cr13_race3, aerobic_f_cr2_race3, aerobic_f_c
> r23_race3, aerobic_f_cr3_race3 \ ///
> aerobic_f_cr0_race4, aerobic_f_cr03_race4, aerobic_f_cr1_race4, aerobic_f_cr13_race4, aerobic_f_cr2_race4, aerobic_f_c
> r23_race4, aerobic_f_cr3_race4)
> matrix list Output
> */
. putexcel set "model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_f", replace
Note: file will be replaced when the first putexcel command is issued
r; t=0.00 0:25:21

. putexcel A1=("") B1=("Estimates in Eastern US") C1=("Wald test with corresponding Guam estimates (p-value)") D1=("Esti
> mates in West coast") E1=("Wald test with corresponding Guam estimates (p-value)")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.02 0:25:21

. putexcel F1=("Estimates in Hawaii") G1=("Wald test with corresponding Guam estimates (p-value)") H1=("Estimates in Gua
> m")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.03 0:25:21

. putexcel A2=("nHwhite (single) Odds ratio") A3=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.02 0:25:21

. putexcel A4=("nHwhite (multirace) Odds ratio") A5=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.02 0:25:21

. putexcel A6=("NHPI (multirace) Odds ratio") A7=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.03 0:25:21

. putexcel A8=("other racial/ethnic groups Odds ratio") A9=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.02 0:25:21

. putexcel A10=("No. of observations")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.02 0:25:21

. putexcel B2="`aerobic_f_cr0_race0_est'" B3="`aerobic_f_cr0_race0_se'" B4="`aerobic_f_cr0_race1_est'" B5="`aerobic_f_cr
> 0_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.02 0:25:21

. putexcel B6="`aerobic_f_cr0_race3_est'" B7="`aerobic_f_cr0_race3_se'" B8="`aerobic_f_cr0_race4_est'" B9="`aerobic_f_cr
> 0_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.02 0:25:21

. putexcel B10=`aerobic_f_cr0_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.03 0:25:21

. putexcel C2=`aerobic_f_cr03_race0' C4=`aerobic_f_cr03_race1' C6=`aerobic_f_cr03_race3' C8=`aerobic_f_cr03_race4', nfor
> mat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.01 0:25:21

. putexcel D2="`aerobic_f_cr1_race0_est'" D3="`aerobic_f_cr1_race0_se'" D4="`aerobic_f_cr1_race1_est'" D5="`aerobic_f_cr
> 1_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.01 0:25:21

. putexcel D6="`aerobic_f_cr1_race3_est'" D7="`aerobic_f_cr1_race3_se'" D8="`aerobic_f_cr1_race4_est'" D9="`aerobic_f_cr
> 1_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.01 0:25:21

. putexcel D10=`aerobic_f_cr1_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.01 0:25:21

. putexcel E2=`aerobic_f_cr13_race0' E4=`aerobic_f_cr13_race1' E6=`aerobic_f_cr13_race3' E8=`aerobic_f_cr13_race4', nfor
> mat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.02 0:25:21

. putexcel F2="`aerobic_f_cr2_race0_est'" F3="`aerobic_f_cr2_race0_se'" F4="`aerobic_f_cr2_race1_est'" F5="`aerobic_f_cr
> 2_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.02 0:25:21

. putexcel F6="`aerobic_f_cr2_race3_est'" F7="`aerobic_f_cr2_race3_se'" F8="`aerobic_f_cr2_race4_est'" F9="`aerobic_f_cr
> 2_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.02 0:25:21

. putexcel F10=`aerobic_f_cr2_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.03 0:25:21

. putexcel G2=`aerobic_f_cr23_race0' G4=`aerobic_f_cr23_race1' G6=`aerobic_f_cr23_race3' G8=`aerobic_f_cr23_race4', nfor
> mat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.02 0:25:21

. putexcel H2="`aerobic_f_cr3_race0_est'" H3="`aerobic_f_cr3_race0_se'" H4="`aerobic_f_cr3_race1_est'" H5="`aerobic_f_cr
> 3_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.02 0:25:21

. putexcel H6="`aerobic_f_cr3_race3_est'" H7="`aerobic_f_cr3_race3_se'" H8="`aerobic_f_cr3_race4_est'" H9="`aerobic_f_cr
> 3_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.02 0:25:21

. putexcel H10=`aerobic_f_cr3_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.02 0:25:21

. putexcel close
r; t=0.00 0:25:21

. 
. 
. 
. 
. 
. 
. *Test if the differences between NHPI and each racial/ethnic group between Hawaii and other census regions
. lincom _b[exe_aerobic_advice_f_cr0:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr2:0.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr0]0.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.180353   .2434082     0.80   0.421     .7879164    1.768251
------------------------------------------------------------------------------
r; t=0.04 0:25:21

. local aerobic_f_cr02_race0=`r(p)'
r; t=0.00 0:25:21

. 
. lincom _b[exe_aerobic_advice_f_cr0:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr2:1.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr0]1.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.592318   .3861822     1.92   0.055     .9898948     2.56136
------------------------------------------------------------------------------
r; t=0.03 0:25:21

. local aerobic_f_cr02_race1=`r(p)'
r; t=0.00 0:25:21

. 
. lincom _b[exe_aerobic_advice_f_cr0:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr2:3.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr0]3.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   2.771649   1.594743     1.77   0.076     .8973786    8.560531
------------------------------------------------------------------------------
r; t=0.07 0:25:21

. local aerobic_f_cr02_race3=`r(p)'
r; t=0.00 0:25:21

. 
. lincom _b[exe_aerobic_advice_f_cr0:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr2:4.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr0]4.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.497653   .3052416     1.98   0.048     1.004441    2.233045
------------------------------------------------------------------------------
r; t=0.06 0:25:21

. local aerobic_f_cr02_race4=`r(p)'
r; t=0.00 0:25:21

. 
. 
. lincom _b[exe_aerobic_advice_f_cr1:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr2:0.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr1]0.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7777624   .1748811    -1.12   0.264      .500556    1.208485
------------------------------------------------------------------------------
r; t=0.06 0:25:21

. local aerobic_f_cr12_race0=`r(p)'
r; t=0.00 0:25:21

. 
. lincom _b[exe_aerobic_advice_f_cr1:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr2:1.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr1]1.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    1.04527   .2857174     0.16   0.871     .6117276    1.786072
------------------------------------------------------------------------------
r; t=0.07 0:25:22

. local aerobic_f_cr12_race1=`r(p)'
r; t=0.00 0:25:22

. 
. lincom _b[exe_aerobic_advice_f_cr1:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr2:3.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr1]3.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8373436   .5058093    -0.29   0.769     .2562846    2.735803
------------------------------------------------------------------------------
r; t=0.08 0:25:22

. local aerobic_f_cr12_race3=`r(p)'
r; t=0.00 0:25:22

. 
. lincom _b[exe_aerobic_advice_f_cr1:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr2:4.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr1]4.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9789822   .2185716    -0.10   0.924     .6320214    1.516414
------------------------------------------------------------------------------
r; t=0.05 0:25:22

. local aerobic_f_cr12_race4=`r(p)'
r; t=0.00 0:25:22

. 
. 
. lincom _b[exe_aerobic_advice_f_cr3:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr2:0.praceethnicgp_multi_sim], 
> eform

 ( 1)  - [exe_aerobic_advice_f_cr2]0.praceethnicgp_multi_sim + [exe_aerobic_advice_f_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.338335   .3357621     1.16   0.245     .8184925    2.188341
------------------------------------------------------------------------------
r; t=0.10 0:25:22

. local aerobic_f_cr32_race0=`r(p)'
r; t=0.00 0:25:22

. 
. lincom _b[exe_aerobic_advice_f_cr3:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr2:1.praceethnicgp_multi_sim], 
> eform

 ( 1)  - [exe_aerobic_advice_f_cr2]1.praceethnicgp_multi_sim + [exe_aerobic_advice_f_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.360086   .5208069     0.80   0.422     .6421288    2.880784
------------------------------------------------------------------------------
r; t=0.09 0:25:22

. local aerobic_f_cr32_race1=`r(p)'
r; t=0.00 0:25:22

. 
. lincom _b[exe_aerobic_advice_f_cr3:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr2:3.praceethnicgp_multi_sim], 
> eform

 ( 1)  - [exe_aerobic_advice_f_cr2]3.praceethnicgp_multi_sim + [exe_aerobic_advice_f_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.443757   .3715575     1.43   0.154     .8718329    2.390865
------------------------------------------------------------------------------
r; t=0.07 0:25:22

. local aerobic_f_cr32_race3=`r(p)'
r; t=0.00 0:25:22

. 
. lincom _b[exe_aerobic_advice_f_cr3:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr2:4.praceethnicgp_multi_sim], 
> eform

 ( 1)  - [exe_aerobic_advice_f_cr2]4.praceethnicgp_multi_sim + [exe_aerobic_advice_f_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.297566   .2411428     1.40   0.161     .9014469    1.867751
------------------------------------------------------------------------------
r; t=0.08 0:25:22

. local aerobic_f_cr32_race4=`r(p)'
r; t=0.00 0:25:22

. 
. 
. /*
> matrix Output=(aerobic_f_cr0_race0, aerobic_f_cr02_race0, aerobic_f_cr1_race0, aerobic_f_cr12_race0, aerobic_f_cr2_rac
> e0, aerobic_f_cr3_race0, aerobic_f_cr32_race0 \ ///
> aerobic_f_cr0_race1, aerobic_f_cr02_race1, aerobic_f_cr1_race1, aerobic_f_cr12_race1, aerobic_f_cr2_race1, aerobic_f_c
> r3_race1, aerobic_f_cr32_race1 \ ///
> aerobic_f_cr0_race3, aerobic_f_cr02_race3, aerobic_f_cr1_race3, aerobic_f_cr12_race3, aerobic_f_cr2_race3, aerobic_f_c
> r3_race3, aerobic_f_cr32_race3 \ ///
> aerobic_f_cr0_race4, aerobic_f_cr02_race4, aerobic_f_cr1_race4, aerobic_f_cr12_race4, aerobic_f_cr2_race4, aerobic_f_c
> r3_race4, aerobic_f_cr32_race4)
> matrix list Output
> */
. putexcel set "model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_f", replace
Note: file will be replaced when the first putexcel command is issued
r; t=0.01 0:25:22

. putexcel A1=("") B1=("Estimates in Eastern US") C1=("Wald test with corresponding Hawaii estimates (p-value)") D1=("Es
> timates in West coast") E1=("Wald test with corresponding Hawaii estimates (p-value)")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.02 0:25:22

. putexcel F1=("Estimates in Hawaii") G1=("Estimates in Guam") H1=("Wald test with corresponding Hawaii estimates (p-val
> ue)")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.04 0:25:22

. putexcel A2=("nHwhite (single) Odds ratio") A3=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.05 0:25:22

. putexcel A4=("nHwhite (multirace) Odds ratio") A5=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.03 0:25:22

. putexcel A6=("NHPI (multirace) Odds ratio") A7=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.05 0:25:22

. putexcel A8=("other racial/ethnic groups Odds ratio") A9=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.18 0:25:22

. putexcel A10=("No. of observations")
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.04 0:25:23

. putexcel B2="`aerobic_f_cr0_race0_est'" B3="`aerobic_f_cr0_race0_se'" B4="`aerobic_f_cr0_race1_est'" B5="`aerobic_f_cr
> 0_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.07 0:25:23

. putexcel B6="`aerobic_f_cr0_race3_est'" B7="`aerobic_f_cr0_race3_se'" B8="`aerobic_f_cr0_race4_est'" B9="`aerobic_f_cr
> 0_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.03 0:25:23

. putexcel B10=`aerobic_f_cr0_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.08 0:25:23

. putexcel C2=`aerobic_f_cr02_race0' C4=`aerobic_f_cr02_race1' C6=`aerobic_f_cr02_race3' C8=`aerobic_f_cr02_race4', nfor
> mat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.02 0:25:23

. putexcel D2="`aerobic_f_cr1_race0_est'" D3="`aerobic_f_cr1_race0_se'" D4="`aerobic_f_cr1_race1_est'" D5="`aerobic_f_cr
> 1_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.02 0:25:23

. putexcel D6="`aerobic_f_cr1_race3_est'" D7="`aerobic_f_cr1_race3_se'" D8="`aerobic_f_cr1_race4_est'" D9="`aerobic_f_cr
> 1_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.03 0:25:23

. putexcel D10=`aerobic_f_cr1_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.03 0:25:23

. putexcel E2=`aerobic_f_cr12_race0' E4=`aerobic_f_cr12_race1' E6=`aerobic_f_cr12_race3' E8=`aerobic_f_cr12_race4', nfor
> mat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.02 0:25:23

. putexcel F2="`aerobic_f_cr2_race0_est'" F3="`aerobic_f_cr2_race0_se'" F4="`aerobic_f_cr2_race1_est'" F5="`aerobic_f_cr
> 2_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.02 0:25:23

. putexcel F6="`aerobic_f_cr2_race3_est'" F7="`aerobic_f_cr2_race3_se'" F8="`aerobic_f_cr2_race4_est'" F9="`aerobic_f_cr
> 2_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.02 0:25:23

. putexcel F10=`aerobic_f_cr2_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.03 0:25:23

. putexcel G2="`aerobic_f_cr3_race0_est'" G3="`aerobic_f_cr3_race0_se'" G4="`aerobic_f_cr3_race1_est'" G5="`aerobic_f_cr
> 3_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.02 0:25:23

. putexcel G6="`aerobic_f_cr3_race3_est'" G7="`aerobic_f_cr3_race3_se'" G8="`aerobic_f_cr3_race4_est'" G9="`aerobic_f_cr
> 3_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.03 0:25:23

. putexcel G10=`aerobic_f_cr3_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.03 0:25:23

. putexcel H2=`aerobic_f_cr32_race0' H4=`aerobic_f_cr32_race1' H6=`aerobic_f_cr32_race3' H8=`aerobic_f_cr32_race4', nfor
> mat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.03 0:25:23

. putexcel close
r; t=0.00 0:25:23

. 
. 
. 
. 
. 
. 
. *Meeting muscle strengthening recommendation among women in Eastern US
. lincom _b[exe_strength_advice_f_cr0:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr0]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.234587   .2023809     1.29   0.199     .8953393    1.702378
------------------------------------------------------------------------------
r; t=0.05 0:25:23

. matrix strength_f_cr0_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:23

. local strength_f_cr0_race0_se="(" + string(strength_f_cr0_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:25:23

. local strength_f_cr0_race0_p=strength_f_cr0_race0[3,1]
r; t=0.00 0:25:23

. if `strength_f_cr0_race0_p'<0.001 {
.         local strength_f_cr0_race0_est=string(strength_f_cr0_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else if `strength_f_cr0_race0_p'<0.01 {
.         local strength_f_cr0_race0_est=string(strength_f_cr0_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else if `strength_f_cr0_race0_p'<0.05 {
.         local strength_f_cr0_race0_est=string(strength_f_cr0_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else {
.         local strength_f_cr0_race0_est=string(strength_f_cr0_race0[1,1], "%3.2f")
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. 
. 
. lincom _b[exe_strength_advice_f_cr0:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr0]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.282888   .2336713     1.37   0.171     .8977321    1.833289
------------------------------------------------------------------------------
r; t=0.06 0:25:23

. matrix strength_f_cr0_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:23

. local strength_f_cr0_race1_se="(" + string(strength_f_cr0_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:25:23

. local strength_f_cr0_race1_p=strength_f_cr0_race1[3,1]
r; t=0.00 0:25:23

. if `strength_f_cr0_race1_p'<0.001 {
.         local strength_f_cr0_race1_est=string(strength_f_cr0_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else if `strength_f_cr0_race1_p'<0.01 {
.         local strength_f_cr0_race1_est=string(strength_f_cr0_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else if `strength_f_cr0_race1_p'<0.05 {
.         local strength_f_cr0_race1_est=string(strength_f_cr0_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else {
.         local strength_f_cr0_race1_est=string(strength_f_cr0_race1[1,1], "%3.2f")
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. 
. 
. lincom _b[exe_strength_advice_f_cr0:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr0]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   5.468166   3.562408     2.61   0.009     1.525103    19.60579
------------------------------------------------------------------------------
r; t=0.07 0:25:23

. matrix strength_f_cr0_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:23

. local strength_f_cr0_race3_se="(" + string(strength_f_cr0_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:25:23

. local strength_f_cr0_race3_p=strength_f_cr0_race3[3,1]
r; t=0.00 0:25:23

. if `strength_f_cr0_race3_p'<0.001 {
.         local strength_f_cr0_race3_est=string(strength_f_cr0_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else if `strength_f_cr0_race3_p'<0.01 {
.         local strength_f_cr0_race3_est=string(strength_f_cr0_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else if `strength_f_cr0_race3_p'<0.05 {
.         local strength_f_cr0_race3_est=string(strength_f_cr0_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else {
.         local strength_f_cr0_race3_est=string(strength_f_cr0_race3[1,1], "%3.2f")
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. 
. 
. lincom _b[exe_strength_advice_f_cr0:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr0]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.081326   .1779964     0.47   0.635     .7831421    1.493044
------------------------------------------------------------------------------
r; t=0.04 0:25:23

. matrix strength_f_cr0_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:23

. local strength_f_cr0_race4_se="(" + string(strength_f_cr0_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:25:23

. local strength_f_cr0_race4_p=strength_f_cr0_race4[3,1]
r; t=0.00 0:25:23

. if `strength_f_cr0_race4_p'<0.001 {
.         local strength_f_cr0_race4_est=string(strength_f_cr0_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else if `strength_f_cr0_race4_p'<0.01 {
.         local strength_f_cr0_race4_est=string(strength_f_cr0_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else if `strength_f_cr0_race4_p'<0.05 {
.         local strength_f_cr0_race4_est=string(strength_f_cr0_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else {
.         local strength_f_cr0_race4_est=string(strength_f_cr0_race4[1,1], "%3.2f")
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. 
. 
. 
. 
. 
. 
. 
. 
. *Meeting muscle strengthening recommendation among women in Western US
. lincom _b[exe_strength_advice_f_cr1:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr1]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    .910272    .217254    -0.39   0.694     .5701842    1.453206
------------------------------------------------------------------------------
r; t=0.04 0:25:23

. matrix strength_f_cr1_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:23

. local strength_f_cr1_race0_se="(" + string(strength_f_cr1_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:25:23

. local strength_f_cr1_race0_p=strength_f_cr1_race0[3,1]
r; t=0.00 0:25:23

. if `strength_f_cr1_race0_p'<0.001 {
.         local strength_f_cr1_race0_est=string(strength_f_cr1_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else if `strength_f_cr1_race0_p'<0.01 {
.         local strength_f_cr1_race0_est=string(strength_f_cr1_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else if `strength_f_cr1_race0_p'<0.05 {
.         local strength_f_cr1_race0_est=string(strength_f_cr1_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else {
.         local strength_f_cr1_race0_est=string(strength_f_cr1_race0[1,1], "%3.2f")
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. 
. 
. lincom _b[exe_strength_advice_f_cr1:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr1]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.004078   .2733819     0.01   0.988     .5888558    1.712086
------------------------------------------------------------------------------
r; t=0.03 0:25:23

. matrix strength_f_cr1_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:23

. local strength_f_cr1_race1_se="(" + string(strength_f_cr1_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:25:23

. local strength_f_cr1_race1_p=strength_f_cr1_race1[3,1]
r; t=0.00 0:25:23

. if `strength_f_cr1_race1_p'<0.001 {
.         local strength_f_cr1_race1_est=string(strength_f_cr1_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else if `strength_f_cr1_race1_p'<0.01 {
.         local strength_f_cr1_race1_est=string(strength_f_cr1_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else if `strength_f_cr1_race1_p'<0.05 {
.         local strength_f_cr1_race1_est=string(strength_f_cr1_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else {
.         local strength_f_cr1_race1_est=string(strength_f_cr1_race1[1,1], "%3.2f")
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. 
. 
. lincom _b[exe_strength_advice_f_cr1:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr1]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.861617   .9540959     1.21   0.225      .681775    5.083227
------------------------------------------------------------------------------
r; t=0.04 0:25:23

. matrix strength_f_cr1_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:23

. local strength_f_cr1_race3_se="(" + string(strength_f_cr1_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:25:23

. local strength_f_cr1_race3_p=strength_f_cr1_race3[3,1]
r; t=0.00 0:25:23

. if `strength_f_cr1_race3_p'<0.001 {
.         local strength_f_cr1_race3_est=string(strength_f_cr1_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else if `strength_f_cr1_race3_p'<0.01 {
.         local strength_f_cr1_race3_est=string(strength_f_cr1_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else if `strength_f_cr1_race3_p'<0.05 {
.         local strength_f_cr1_race3_est=string(strength_f_cr1_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else {
.         local strength_f_cr1_race3_est=string(strength_f_cr1_race3[1,1], "%3.2f")
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. 
. 
. lincom _b[exe_strength_advice_f_cr1:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr1]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6511999    .156343    -1.79   0.074     .4067745    1.042497
------------------------------------------------------------------------------
r; t=0.06 0:25:23

. matrix strength_f_cr1_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:23

. local strength_f_cr1_race4_se="(" + string(strength_f_cr1_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:25:23

. local strength_f_cr1_race4_p=strength_f_cr1_race4[3,1]
r; t=0.00 0:25:23

. if `strength_f_cr1_race4_p'<0.001 {
.         local strength_f_cr1_race4_est=string(strength_f_cr1_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else if `strength_f_cr1_race4_p'<0.01 {
.         local strength_f_cr1_race4_est=string(strength_f_cr1_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else if `strength_f_cr1_race4_p'<0.05 {
.         local strength_f_cr1_race4_est=string(strength_f_cr1_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else {
.         local strength_f_cr1_race4_est=string(strength_f_cr1_race4[1,1], "%3.2f")
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. 
. 
. 
. 
. 
. *Meeting muscle strengthening recommendation among women in Hawaii
. lincom _b[exe_strength_advice_f_cr2:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.595795   .2241816     3.33   0.001     1.211708    2.101631
------------------------------------------------------------------------------
r; t=0.05 0:25:23

. matrix strength_f_cr2_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:23

. local strength_f_cr2_race0_se="(" + string(strength_f_cr2_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:25:23

. local strength_f_cr2_race0_p=strength_f_cr2_race0[3,1]
r; t=0.00 0:25:23

. if `strength_f_cr2_race0_p'<0.001 {
.         local strength_f_cr2_race0_est=string(strength_f_cr2_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else if `strength_f_cr2_race0_p'<0.01 {
.         local strength_f_cr2_race0_est=string(strength_f_cr2_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else if `strength_f_cr2_race0_p'<0.05 {
.         local strength_f_cr2_race0_est=string(strength_f_cr2_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. else {
.         local strength_f_cr2_race0_est=string(strength_f_cr2_race0[1,1], "%3.2f")
r; t=0.00 0:25:23
. }
r; t=0.00 0:25:23

. 
. 
. lincom _b[exe_strength_advice_f_cr2:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.513421   .2867874     2.19   0.029     1.043903    2.194115
------------------------------------------------------------------------------
r; t=0.05 0:25:23

. matrix strength_f_cr2_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:24

. local strength_f_cr2_race1_se="(" + string(strength_f_cr2_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:25:24

. local strength_f_cr2_race1_p=strength_f_cr2_race1[3,1]
r; t=0.00 0:25:24

. if `strength_f_cr2_race1_p'<0.001 {
.         local strength_f_cr2_race1_est=string(strength_f_cr2_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. else if `strength_f_cr2_race1_p'<0.01 {
.         local strength_f_cr2_race1_est=string(strength_f_cr2_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. else if `strength_f_cr2_race1_p'<0.05 {
.         local strength_f_cr2_race1_est=string(strength_f_cr2_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. else {
.         local strength_f_cr2_race1_est=string(strength_f_cr2_race1[1,1], "%3.2f")
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. 
. 
. lincom _b[exe_strength_advice_f_cr2:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8573072   .1392016    -0.95   0.343     .6236286    1.178547
------------------------------------------------------------------------------
r; t=0.04 0:25:24

. matrix strength_f_cr2_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:24

. local strength_f_cr2_race3_se="(" + string(strength_f_cr2_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:25:24

. local strength_f_cr2_race3_p=strength_f_cr2_race3[3,1]
r; t=0.00 0:25:24

. if `strength_f_cr2_race3_p'<0.001 {
.         local strength_f_cr2_race3_est=string(strength_f_cr2_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. else if `strength_f_cr2_race3_p'<0.01 {
.         local strength_f_cr2_race3_est=string(strength_f_cr2_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. else if `strength_f_cr2_race3_p'<0.05 {
.         local strength_f_cr2_race3_est=string(strength_f_cr2_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. else {
.         local strength_f_cr2_race3_est=string(strength_f_cr2_race3[1,1], "%3.2f")
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. 
. 
. lincom _b[exe_strength_advice_f_cr2:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.052431   .1450559     0.37   0.711     .8032908    1.378841
------------------------------------------------------------------------------
r; t=0.06 0:25:24

. matrix strength_f_cr2_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:24

. local strength_f_cr2_race4_se="(" + string(strength_f_cr2_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:25:24

. local strength_f_cr2_race4_p=strength_f_cr2_race4[3,1]
r; t=0.00 0:25:24

. if `strength_f_cr2_race4_p'<0.001 {
.         local strength_f_cr2_race4_est=string(strength_f_cr2_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. else if `strength_f_cr2_race4_p'<0.01 {
.         local strength_f_cr2_race4_est=string(strength_f_cr2_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. else if `strength_f_cr2_race4_p'<0.05 {
.         local strength_f_cr2_race4_est=string(strength_f_cr2_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. else {
.         local strength_f_cr2_race4_est=string(strength_f_cr2_race4[1,1], "%3.2f")
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. 
. 
. 
. 
. 
. 
. *Meeting muscle strengthening recommendation among women in Guam
. lincom _b[exe_strength_advice_f_cr3:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   2.187404   .4883325     3.51   0.000     1.412213    3.388113
------------------------------------------------------------------------------
r; t=0.05 0:25:24

. matrix strength_f_cr3_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:24

. local strength_f_cr3_race0_se="(" + string(strength_f_cr3_race0[2,1], "%3.2f") + ")"
r; t=0.00 0:25:24

. local strength_f_cr3_race0_p=strength_f_cr3_race0[3,1]
r; t=0.00 0:25:24

. if `strength_f_cr3_race0_p'<0.001 {
.         local strength_f_cr3_race0_est=string(strength_f_cr3_race0[1,1], "%3.2f") + "***"
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. else if `strength_f_cr3_race0_p'<0.01 {
.         local strength_f_cr3_race0_est=string(strength_f_cr3_race0[1,1], "%3.2f") + "**"
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. else if `strength_f_cr3_race0_p'<0.05 {
.         local strength_f_cr3_race0_est=string(strength_f_cr3_race0[1,1], "%3.2f") + "*"
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. else {
.         local strength_f_cr3_race0_est=string(strength_f_cr3_race0[1,1], "%3.2f")
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. 
. 
. lincom _b[exe_strength_advice_f_cr3:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    1.19141   .6577817     0.32   0.751     .4037469    3.515712
------------------------------------------------------------------------------
r; t=0.04 0:25:24

. matrix strength_f_cr3_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:24

. local strength_f_cr3_race1_se="(" + string(strength_f_cr3_race1[2,1], "%3.2f") + ")"
r; t=0.00 0:25:24

. local strength_f_cr3_race1_p=strength_f_cr3_race1[3,1]
r; t=0.00 0:25:24

. if `strength_f_cr3_race1_p'<0.001 {
.         local strength_f_cr3_race1_est=string(strength_f_cr3_race1[1,1], "%3.2f") + "***"
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. else if `strength_f_cr3_race1_p'<0.01 {
.         local strength_f_cr3_race1_est=string(strength_f_cr3_race1[1,1], "%3.2f") + "**"
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. else if `strength_f_cr3_race1_p'<0.05 {
.         local strength_f_cr3_race1_est=string(strength_f_cr3_race1[1,1], "%3.2f") + "*"
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. else {
.         local strength_f_cr3_race1_est=string(strength_f_cr3_race1[1,1], "%3.2f")
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. 
. 
. 
. lincom _b[exe_strength_advice_f_cr3:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8587768    .209241    -0.62   0.532     .5327025    1.384446
------------------------------------------------------------------------------
r; t=0.04 0:25:24

. matrix strength_f_cr3_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:24

. local strength_f_cr3_race3_se="(" + string(strength_f_cr3_race3[2,1], "%3.2f") + ")"
r; t=0.00 0:25:24

. local strength_f_cr3_race3_p=strength_f_cr3_race3[3,1]
r; t=0.00 0:25:24

. if `strength_f_cr3_race3_p'<0.001 {
.         local strength_f_cr3_race3_est=string(strength_f_cr3_race3[1,1], "%3.2f") + "***"
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. else if `strength_f_cr3_race3_p'<0.01 {
.         local strength_f_cr3_race3_est=string(strength_f_cr3_race3[1,1], "%3.2f") + "**"
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. else if `strength_f_cr3_race3_p'<0.05 {
.         local strength_f_cr3_race3_est=string(strength_f_cr3_race3[1,1], "%3.2f") + "*"
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. else {
.         local strength_f_cr3_race3_est=string(strength_f_cr3_race3[1,1], "%3.2f")
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. 
. 
. 
. lincom _b[exe_strength_advice_f_cr3:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.106556   .1835584     0.61   0.542     .7994181    1.531698
------------------------------------------------------------------------------
r; t=0.04 0:25:24

. matrix strength_f_cr3_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 0:25:24

. local strength_f_cr3_race4_se="(" + string(strength_f_cr3_race4[2,1], "%3.2f") + ")"
r; t=0.00 0:25:24

. local strength_f_cr3_race4_p=strength_f_cr3_race4[3,1]
r; t=0.00 0:25:24

. if `strength_f_cr3_race4_p'<0.001 {
.         local strength_f_cr3_race4_est=string(strength_f_cr3_race4[1,1], "%3.2f") + "***"
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. else if `strength_f_cr3_race4_p'<0.01 {
.         local strength_f_cr3_race4_est=string(strength_f_cr3_race4[1,1], "%3.2f") + "**"
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. else if `strength_f_cr3_race4_p'<0.05 {
.         local strength_f_cr3_race4_est=string(strength_f_cr3_race4[1,1], "%3.2f") + "*"
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. else {
.         local strength_f_cr3_race4_est=string(strength_f_cr3_race4[1,1], "%3.2f")
r; t=0.00 0:25:24
. }
r; t=0.00 0:25:24

. 
. 
. 
. 
. 
. *Test if the differences between NHPI and each racial/ethnic group between Guam and other census regions
. lincom _b[exe_strength_advice_f_cr0:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr3:0.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr0]0.praceethnicgp_multi_sim - [exe_strength_advice_f_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .5644076   .1563227    -2.07   0.039     .3279722    .9712892
------------------------------------------------------------------------------
r; t=0.05 0:25:24

. local strength_f_cr03_race0=`r(p)'
r; t=0.00 0:25:24

. 
. lincom _b[exe_strength_advice_f_cr0:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr3:1.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr0]1.praceethnicgp_multi_sim - [exe_strength_advice_f_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.076781   .6260121     0.13   0.899     .3445569     3.36507
------------------------------------------------------------------------------
r; t=0.04 0:25:24

. local strength_f_cr03_race1=`r(p)'
r; t=0.00 0:25:24

. 
. lincom _b[exe_strength_advice_f_cr0:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr3:3.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr0]3.praceethnicgp_multi_sim - [exe_strength_advice_f_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    6.36739   4.428853     2.66   0.008     1.628941    24.88957
------------------------------------------------------------------------------
r; t=0.04 0:25:24

. local strength_f_cr03_race3=`r(p)'
r; t=0.00 0:25:24

. 
. lincom _b[exe_strength_advice_f_cr0:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr3:4.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr0]4.praceethnicgp_multi_sim - [exe_strength_advice_f_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9771988   .2283663    -0.10   0.921     .6181037    1.544915
------------------------------------------------------------------------------
r; t=0.06 0:25:24

. local strength_f_cr03_race4=`r(p)'
r; t=0.00 0:25:24

. 
. 
. lincom _b[exe_strength_advice_f_cr1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr3:0.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr1]0.praceethnicgp_multi_sim - [exe_strength_advice_f_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .4161426   .1359981    -2.68   0.007     .2193126    .7896248
------------------------------------------------------------------------------
r; t=0.07 0:25:24

. local strength_f_cr13_race0=`r(p)'
r; t=0.00 0:25:24

. 
. lincom _b[exe_strength_advice_f_cr1:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr3:1.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr1]1.praceethnicgp_multi_sim - [exe_strength_advice_f_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8427643   .5187967    -0.28   0.781     .2521824     2.81642
------------------------------------------------------------------------------
r; t=0.06 0:25:24

. local strength_f_cr13_race1=`r(p)'
r; t=0.00 0:25:24

. 
. lincom _b[exe_strength_advice_f_cr1:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr3:3.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr1]3.praceethnicgp_multi_sim - [exe_strength_advice_f_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   2.167754   1.230152     1.36   0.173      .712806    6.592477
------------------------------------------------------------------------------
r; t=0.07 0:25:24

. local strength_f_cr13_race3=`r(p)'
r; t=0.00 0:25:24

. 
. lincom _b[exe_strength_advice_f_cr1:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr3:4.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr1]4.praceethnicgp_multi_sim - [exe_strength_advice_f_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .5884922   .1717325    -1.82   0.069      .332158    1.042646
------------------------------------------------------------------------------
r; t=0.06 0:25:24

. local strength_f_cr13_race4=`r(p)'
r; t=0.00 0:25:24

. 
. 
. lincom _b[exe_strength_advice_f_cr2:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr3:0.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr2]0.praceethnicgp_multi_sim - [exe_strength_advice_f_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7295384   .1924307    -1.20   0.232     .4350369    1.223405
------------------------------------------------------------------------------
r; t=0.05 0:25:24

. local strength_f_cr23_race0=`r(p)'
r; t=0.00 0:25:24

. 
. lincom _b[exe_strength_advice_f_cr2:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr3:1.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr2]1.praceethnicgp_multi_sim - [exe_strength_advice_f_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.270278   .7414843     0.41   0.682     .4046095    3.988056
------------------------------------------------------------------------------
r; t=0.06 0:25:24

. local strength_f_cr23_race1=`r(p)'
r; t=0.00 0:25:24

. 
. lincom _b[exe_strength_advice_f_cr2:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr3:3.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr2]3.praceethnicgp_multi_sim - [exe_strength_advice_f_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9982887   .2922952    -0.01   0.995     .5623766    1.772087
------------------------------------------------------------------------------
r; t=0.05 0:25:24

. local strength_f_cr23_race3=`r(p)'
r; t=0.00 0:25:24

. 
. lincom _b[exe_strength_advice_f_cr2:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr3:4.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr2]4.praceethnicgp_multi_sim - [exe_strength_advice_f_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9510864   .2051217    -0.23   0.816     .6232184    1.451442
------------------------------------------------------------------------------
r; t=0.05 0:25:24

. local strength_f_cr23_race4=`r(p)'
r; t=0.00 0:25:24

. 
. 
. 
. *Store the number of observations in each model
. matrix `mname'_obs=e(_N)
r; t=0.00 0:25:24

. local strength_f_cr0_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_f_cr0")]
r; t=0.00 0:25:24

. local strength_f_cr1_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_f_cr1")]
r; t=0.00 0:25:24

. local strength_f_cr2_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_f_cr2")]
r; t=0.00 0:25:24

. local strength_f_cr3_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_f_cr3")]
r; t=0.00 0:25:24

. 
. 
. /*
> matrix Output=(strength_f_cr0_race0, strength_f_cr03_race0, strength_f_cr1_race0, strength_f_cr13_race0, strength_f_cr
> 2_race0, strength_f_cr23_race0, strength_f_cr3_race0 \ ///
> strength_f_cr0_race1, strength_f_cr03_race1, strength_f_cr1_race1, strength_f_cr13_race1, strength_f_cr2_race1, streng
> th_f_cr23_race1, strength_f_cr3_race1 \ ///
> strength_f_cr0_race3, strength_f_cr03_race3, strength_f_cr1_race3, strength_f_cr13_race3, strength_f_cr2_race3, streng
> th_f_cr23_race3, strength_f_cr3_race3 \ ///
> strength_f_cr0_race4, strength_f_cr03_race4, strength_f_cr1_race4, strength_f_cr13_race4, strength_f_cr2_race4, streng
> th_f_cr23_race4, strength_f_cr3_race4)
> matrix list Output
> */
. putexcel set "model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_f", replace
Note: file will be replaced when the first putexcel command is issued
r; t=0.00 0:25:24

. putexcel A1=("") B1=("Estimates in Eastern US") C1=("Wald test with corresponding Guam estimates (p-value)") D1=("Esti
> mates in West coast") E1=("Wald test with corresponding Guam estimates (p-value)")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.02 0:25:24

. putexcel F1=("Estimates in Hawaii") G1=("Wald test with corresponding Guam estimates (p-value)") H1=("Estimates in Gua
> m")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.01 0:25:24

. putexcel A2=("nHwhite (single) Odds ratio") A3=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.03 0:25:24

. putexcel A4=("nHwhite (multirace) Odds ratio") A5=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.03 0:25:25

. putexcel A6=("NHPI (multirace) Odds ratio") A7=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.02 0:25:25

. putexcel A8=("other racial/ethnic groups Odds ratio") A9=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.03 0:25:25

. putexcel A10=("No. of observations")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.02 0:25:25

. putexcel B2="`strength_f_cr0_race0_est'" B3="`strength_f_cr0_race0_se'" B4="`strength_f_cr0_race1_est'" B5="`strength_
> f_cr0_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.02 0:25:25

. putexcel B6="`strength_f_cr0_race3_est'" B7="`strength_f_cr0_race3_se'" B8="`strength_f_cr0_race4_est'" B9="`strength_
> f_cr0_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.02 0:25:25

. putexcel B10=`strength_f_cr0_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.02 0:25:25

. putexcel C2=`strength_f_cr03_race0' C4=`strength_f_cr03_race1' C6=`strength_f_cr03_race3' C8=`strength_f_cr03_race4', 
> nformat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.03 0:25:25

. putexcel D2="`strength_f_cr1_race0_est'" D3="`strength_f_cr1_race0_se'" D4="`strength_f_cr1_race1_est'" D5="`strength_
> f_cr1_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.02 0:25:25

. putexcel D6="`strength_f_cr1_race3_est'" D7="`strength_f_cr1_race3_se'" D8="`strength_f_cr1_race4_est'" D9="`strength_
> f_cr1_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.03 0:25:25

. putexcel D10=`strength_f_cr1_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.02 0:25:25

. putexcel E2=`strength_f_cr13_race0' E4=`strength_f_cr13_race1' E6=`strength_f_cr13_race3' E8=`strength_f_cr13_race4', 
> nformat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.02 0:25:25

. putexcel F2="`strength_f_cr2_race0_est'" F3="`strength_f_cr2_race0_se'" F4="`strength_f_cr2_race1_est'" F5="`strength_
> f_cr2_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.03 0:25:25

. putexcel F6="`strength_f_cr2_race3_est'" F7="`strength_f_cr2_race3_se'" F8="`strength_f_cr2_race4_est'" F9="`strength_
> f_cr2_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.03 0:25:25

. putexcel F10=`strength_f_cr2_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.03 0:25:25

. putexcel G2=`strength_f_cr23_race0' G4=`strength_f_cr23_race1' G6=`strength_f_cr23_race3' G8=`strength_f_cr23_race4', 
> nformat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.02 0:25:25

. putexcel H2="`strength_f_cr3_race0_est'" H3="`strength_f_cr3_race0_se'" H4="`strength_f_cr3_race1_est'" H5="`strength_
> f_cr3_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.03 0:25:25

. putexcel H6="`strength_f_cr3_race3_est'" H7="`strength_f_cr3_race3_se'" H8="`strength_f_cr3_race4_est'" H9="`strength_
> f_cr3_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.02 0:25:25

. putexcel H10=`strength_f_cr3_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.01 0:25:25

. putexcel close
r; t=0.00 0:25:25

. 
. 
. 
. 
. 
. 
. *Test if the differences between NHPI and each racial/ethnic group between Hawaii and other census regions
. lincom _b[exe_strength_advice_f_cr0:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr2:0.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr0]0.praceethnicgp_multi_sim - [exe_strength_advice_f_cr2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7736503   .1670209    -1.19   0.235     .5067354    1.181158
------------------------------------------------------------------------------
r; t=0.05 0:25:25

. local strength_f_cr02_race0=`r(p)'
r; t=0.00 0:25:25

. 
. lincom _b[exe_strength_advice_f_cr0:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr2:1.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr0]1.praceethnicgp_multi_sim - [exe_strength_advice_f_cr2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8476741   .2228036    -0.63   0.530     .5064049    1.418927
------------------------------------------------------------------------------
r; t=0.04 0:25:25

. local strength_f_cr02_race1=`r(p)'
r; t=0.00 0:25:25

. 
. lincom _b[exe_strength_advice_f_cr0:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr2:3.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr0]3.praceethnicgp_multi_sim - [exe_strength_advice_f_cr2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   6.378305    4.28246     2.76   0.006     1.710799    23.77999
------------------------------------------------------------------------------
r; t=0.04 0:25:25

. local strength_f_cr02_race3=`r(p)'
r; t=0.00 0:25:25

. 
. lincom _b[exe_strength_advice_f_cr0:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr2:4.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr0]4.praceethnicgp_multi_sim - [exe_strength_advice_f_cr2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.027455   .2205878     0.13   0.900     .6745521    1.564986
------------------------------------------------------------------------------
r; t=0.05 0:25:25

. local strength_f_cr02_race4=`r(p)'
r; t=0.00 0:25:25

. 
. 
. lincom _b[exe_strength_advice_f_cr1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr2:0.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr1]0.praceethnicgp_multi_sim - [exe_strength_advice_f_cr2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    .570419   .1579746    -2.03   0.043     .3314804    .9815901
------------------------------------------------------------------------------
r; t=0.03 0:25:25

. local strength_f_cr12_race0=`r(p)'
r; t=0.00 0:25:25

. 
. lincom _b[exe_strength_advice_f_cr1:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr2:1.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr1]1.praceethnicgp_multi_sim - [exe_strength_advice_f_cr2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6634489   .2200817    -1.24   0.216     .3462927    1.271076
------------------------------------------------------------------------------
r; t=0.05 0:25:25

. local strength_f_cr12_race1=`r(p)'
r; t=0.00 0:25:25

. 
. lincom _b[exe_strength_advice_f_cr1:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr2:3.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr1]3.praceethnicgp_multi_sim - [exe_strength_advice_f_cr2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    2.17147   1.167415     1.44   0.149     .7570672    6.228353
------------------------------------------------------------------------------
r; t=0.04 0:25:25

. local strength_f_cr12_race3=`r(p)'
r; t=0.00 0:25:25

. 
. lincom _b[exe_strength_advice_f_cr1:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr2:4.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr1]4.praceethnicgp_multi_sim - [exe_strength_advice_f_cr2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6187579   .1712938    -1.73   0.083     .3596485    1.064543
------------------------------------------------------------------------------
r; t=0.06 0:25:25

. local strength_f_cr12_race4=`r(p)'
r; t=0.00 0:25:25

. 
. 
. lincom _b[exe_strength_advice_f_cr3:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr2:0.praceethnicgp_multi_sim]
> , eform

 ( 1)  - [exe_strength_advice_f_cr2]0.praceethnicgp_multi_sim + [exe_strength_advice_f_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    1.37073    .361558     1.20   0.232     .8173908    2.298656
------------------------------------------------------------------------------
r; t=0.03 0:25:25

. local strength_f_cr32_race0=`r(p)'
r; t=0.00 0:25:25

. 
. lincom _b[exe_strength_advice_f_cr3:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr2:1.praceethnicgp_multi_sim]
> , eform

 ( 1)  - [exe_strength_advice_f_cr2]1.praceethnicgp_multi_sim + [exe_strength_advice_f_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7872295   .4595203    -0.41   0.682     .2507487    2.471519
------------------------------------------------------------------------------
r; t=0.03 0:25:25

. local strength_f_cr32_race1=`r(p)'
r; t=0.00 0:25:25

. 
. lincom _b[exe_strength_advice_f_cr3:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr2:3.praceethnicgp_multi_sim]
> , eform

 ( 1)  - [exe_strength_advice_f_cr2]3.praceethnicgp_multi_sim + [exe_strength_advice_f_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.001714   .2932981     0.01   0.995     .5643063    1.778168
------------------------------------------------------------------------------
r; t=0.06 0:25:25

. local strength_f_cr32_race3=`r(p)'
r; t=0.00 0:25:25

. 
. lincom _b[exe_strength_advice_f_cr3:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr2:4.praceethnicgp_multi_sim]
> , eform

 ( 1)  - [exe_strength_advice_f_cr2]4.praceethnicgp_multi_sim + [exe_strength_advice_f_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.051429   .2267627     0.23   0.816     .6889701    1.604574
------------------------------------------------------------------------------
r; t=0.06 0:25:25

. local strength_f_cr32_race4=`r(p)'
r; t=0.00 0:25:25

. 
. 
. /*
> matrix Output=(strength_f_cr0_race0, strength_f_cr02_race0, strength_f_cr1_race0, strength_f_cr12_race0, strength_f_cr
> 2_race0, strength_f_cr3_race0, strength_f_cr32_race0 \ ///
> strength_f_cr0_race1, strength_f_cr02_race1, strength_f_cr1_race1, strength_f_cr12_race1, strength_f_cr2_race1, streng
> th_f_cr3_race1, strength_f_cr32_race1 \ ///
> strength_f_cr0_race3, strength_f_cr02_race3, strength_f_cr1_race3, strength_f_cr12_race3, strength_f_cr2_race3, streng
> th_f_cr3_race3, strength_f_cr32_race3 \ ///
> strength_f_cr0_race4, strength_f_cr02_race4, strength_f_cr1_race4, strength_f_cr12_race4, strength_f_cr2_race4, streng
> th_f_cr3_race4, strength_f_cr32_race4)
> matrix list Output
> */
. putexcel set "model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_f", replace
Note: file will be replaced when the first putexcel command is issued
r; t=0.00 0:25:25

. putexcel A1=("") B1=("Estimates in Eastern US") C1=("Wald test with corresponding Hawaii estimates (p-value)") D1=("Es
> timates in West coast") E1=("Wald test with corresponding Hawaii estimates (p-value)")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.02 0:25:26

. putexcel F1=("Estimates in Hawaii") G1=("Estimates in Guam") H1=("Wald test with corresponding Hawaii estimates (p-val
> ue)")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.02 0:25:26

. putexcel A2=("nHwhite (single) Odds ratio") A3=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.02 0:25:26

. putexcel A4=("nHwhite (multirace) Odds ratio") A5=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.04 0:25:26

. putexcel A6=("NHPI (multirace) Odds ratio") A7=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.02 0:25:26

. putexcel A8=("other racial/ethnic groups Odds ratio") A9=("SE")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.02 0:25:26

. putexcel A10=("No. of observations")
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.02 0:25:26

. putexcel B2="`strength_f_cr0_race0_est'" B3="`strength_f_cr0_race0_se'" B4="`strength_f_cr0_race1_est'" B5="`strength_
> f_cr0_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.02 0:25:26

. putexcel B6="`strength_f_cr0_race3_est'" B7="`strength_f_cr0_race3_se'" B8="`strength_f_cr0_race4_est'" B9="`strength_
> f_cr0_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.01 0:25:26

. putexcel B10=`strength_f_cr0_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.02 0:25:26

. putexcel C2=`strength_f_cr02_race0' C4=`strength_f_cr02_race1' C6=`strength_f_cr02_race3' C8=`strength_f_cr02_race4', 
> nformat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.03 0:25:26

. putexcel D2="`strength_f_cr1_race0_est'" D3="`strength_f_cr1_race0_se'" D4="`strength_f_cr1_race1_est'" D5="`strength_
> f_cr1_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.02 0:25:26

. putexcel D6="`strength_f_cr1_race3_est'" D7="`strength_f_cr1_race3_se'" D8="`strength_f_cr1_race4_est'" D9="`strength_
> f_cr1_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.02 0:25:26

. putexcel D10=`strength_f_cr1_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.03 0:25:26

. putexcel E2=`strength_f_cr12_race0' E4=`strength_f_cr12_race1' E6=`strength_f_cr12_race3' E8=`strength_f_cr12_race4', 
> nformat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.02 0:25:26

. putexcel F2="`strength_f_cr2_race0_est'" F3="`strength_f_cr2_race0_se'" F4="`strength_f_cr2_race1_est'" F5="`strength_
> f_cr2_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.02 0:25:26

. putexcel F6="`strength_f_cr2_race3_est'" F7="`strength_f_cr2_race3_se'" F8="`strength_f_cr2_race4_est'" F9="`strength_
> f_cr2_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.01 0:25:26

. putexcel F10=`strength_f_cr2_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.02 0:25:26

. putexcel G2="`strength_f_cr3_race0_est'" G3="`strength_f_cr3_race0_se'" G4="`strength_f_cr3_race1_est'" G5="`strength_
> f_cr3_race1_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.02 0:25:26

. putexcel G6="`strength_f_cr3_race3_est'" G7="`strength_f_cr3_race3_se'" G8="`strength_f_cr3_race4_est'" G9="`strength_
> f_cr3_race4_se'"
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.02 0:25:26

. putexcel G10=`strength_f_cr3_obs'
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.02 0:25:26

. putexcel H2=`strength_f_cr32_race0' H4=`strength_f_cr32_race1' H6=`strength_f_cr32_race3' H8=`strength_f_cr32_race4', 
> nformat(0.000)
file model/brfss2015-2019-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.02 0:25:26

. putexcel close
r; t=0.01 0:25:26

. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. log close
      name:  <unnamed>
       log:  C:\Users\Ben\Desktop\HKU Postdoc\Project\NHPI-exercise\Posted\NHPI-exercise Replication Package\20250822-br
> fss2015-2019-pathanalysis-tableoutput.log
  log type:  text
 closed on:  29 Aug 2025, 00:25:26
------------------------------------------------------------------------------------------------------------------------
